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Paper Citation Record · LEDGER

Robust multi-task boosting using clustering and local ensembling

As of 24 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2602.14231.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2602.14231 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:19:57.768043Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:59:47.764164Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

73 of 73 outbound references displayed

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External citation measurements

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Outbound references

Observation 1f7a2671-f38d-48f2-9015-6ed3cc2556aa · outbound

This paper cites A Survey on Multi-Task Learning.

Robust multi-task boosting using clustering and local ensembling A Survey on Multi-Task Learning

Reference 1

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Observation d511a8fa-f8bd-472b-ae3e-4dc115a89176 · outbound

This paper cites Multitask Learning.

Robust multi-task boosting using clustering and local ensembling Multitask Learning

Reference 2

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Observation ee7c86cb-b163-4be3-9f37-f54cd6daefa2 · outbound

This paper cites Personalized multitask learning for predicting tomorrow’s mood, stress, and health.

Robust multi-task boosting using clustering and local ensembling Personalized multitask learning for predicting tomorrow’s mood, stress, and health

Reference 3

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Observation f1559fac-3868-43cf-b0c2-2bc9cd8a5db5 · outbound

This paper cites Radial Basis Function Network for Multi-task Learning.

Robust multi-task boosting using clustering and local ensembling Radial Basis Function Network for Multi-task Learning

Reference 4

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Observation 8fa8637e-21de-41b8-8654-49317b5a9315 · outbound

This paper cites Silver, Ryan Poirier, and Duane Currie.

Robust multi-task boosting using clustering and local ensembling Silver, Ryan Poirier, and Duane Currie

Reference 5

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Observation 6d15f334-b133-4ec7-9549-09810a0f8381 · outbound

This paper cites Robust multi-task feature learning.

Robust multi-task boosting using clustering and local ensembling Robust multi-task feature learning

Reference 6

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Observation 8b180a87-bdfa-4935-bea7-fefe4908afba · outbound

This paper cites Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework.

Robust multi-task boosting using clustering and local ensembling Encoding Tree Sparsity in Multi-Task Learning: A Probabilistic Framework

Reference 7

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Observation 69d9fc37-5a62-4a07-a464-587ca6ae6f95 · outbound

This paper cites A framework for learning predictive structures from multiple tasks and unlabeled data.

Robust multi-task boosting using clustering and local ensembling A framework for learning predictive structures from multiple tasks and unlabeled data

Reference 8

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Observation be042662-6f35-411e-bddf-7e5edee94716 · outbound

This paper cites A convex formulation for learning shared structures from multiple tasks.

Robust multi-task boosting using clustering and local ensembling A convex formulation for learning shared structures from multiple tasks

Reference 9

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Observation 0189ad2c-f2de-4ce3-af49-18e8c9d4d2ee · outbound

This paper cites Learning Multiple Tasks using Manifold Regular- ization.

Robust multi-task boosting using clustering and local ensembling Learning Multiple Tasks using Manifold Regular- ization

Reference 10

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Observation 1c423b0d-15be-448b-bdc3-a4298dbc5620 · outbound

This paper cites Discovering structure in multiple learning tasks: The TC algorithm.

Robust multi-task boosting using clustering and local ensembling Discovering structure in multiple learning tasks: The TC algorithm

Reference 11

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Observation 8ef79ced-abf4-4941-bfca-b4d92905913b · outbound

This paper cites Task clustering and gating for bayesian multitask learning.

Robust multi-task boosting using clustering and local ensembling Task clustering and gating for bayesian multitask learning

Reference 12

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Observation a0217611-cdbb-474a-b5c6-4512dceeaa00 · outbound

This paper cites Multi-Task Learning for Classification with Dirichlet Process Priors.

Robust multi-task boosting using clustering and local ensembling Multi-Task Learning for Classification with Dirichlet Process Priors

Reference 13

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Observation 2e0b0b7c-9073-47ba-805b-b5b87b9118b7 · outbound

This paper cites Regularized multi–task learning.

Robust multi-task boosting using clustering and local ensembling Regularized multi–task learning

Reference 14

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Observation eca27e56-0044-4919-b707-6f08bb811b51 · outbound

This paper cites Large Margin Multi-Task Metric Learning.

Robust multi-task boosting using clustering and local ensembling Large Margin Multi-Task Metric Learning

Reference 15

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Observation 99441d9a-87a4-46df-a9d9-6e188ca95658 · outbound

This paper cites Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation.

Robust multi-task boosting using clustering and local ensembling Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation

Reference 16

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Observation 06d17f4d-8f48-4ce6-882d-2a806f7f7657 · outbound

This paper cites A Dirty Model for Multi-task Learning.

Robust multi-task boosting using clustering and local ensembling A Dirty Model for Multi-task Learning

Reference 17

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Observation e6f1d2f9-7a0c-4d8c-b56c-745f838b6e44 · outbound

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Robust multi-task boosting using clustering and local ensembling Learning Tree Structure in Multi-Task Learning

Reference 18

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Observation d0eeb8a4-3077-4058-af6c-4633662a2c24 · outbound

This paper cites Flexible Clustered Multi-Task Learning by Learning Representative Tasks.

Robust multi-task boosting using clustering and local ensembling Flexible Clustered Multi-Task Learning by Learning Representative Tasks

Reference 19

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Observation 448466b3-1b9b-465a-9ad3-082ed4a2092a · outbound

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Robust multi-task boosting using clustering and local ensembling Unresolved cited work

Reference 20

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Observation 34fb3ad8-256f-401f-af9a-cad011b30a8d · outbound

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Robust multi-task boosting using clustering and local ensembling Unresolved cited work

Reference 21

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Observation a95968b5-efa0-440a-aca1-fc3fc144b185 · outbound

This paper cites Clustering Methods , pages 321–352.

Robust multi-task boosting using clustering and local ensembling Clustering Methods , pages 321–352

Reference 22

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Observation b6bc6a79-4d0f-4af9-b023-5bac92892d71 · outbound

This paper cites Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition.

Robust multi-task boosting using clustering and local ensembling Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition

Reference 23

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Observation 7ce58653-4e68-43c8-9282-803556383291 · outbound

This paper cites K-Means Clustering , pages 563–564.

Robust multi-task boosting using clustering and local ensembling K-Means Clustering , pages 563–564

Reference 24

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Robust multi-task boosting using clustering and local ensembling Friedman

Reference 25

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Observation 722abc9e-4fb1-4d9a-905b-5835b55012c8 · outbound

This paper cites A comparative analysis of gradient boosting algorithms.

Robust multi-task boosting using clustering and local ensembling A comparative analysis of gradient boosting algorithms

Reference 26

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Observation f51e374f-d0e2-480e-ae3c-0fe02afae899 · outbound

This paper cites Tabular data: Deep learning is not all you need.

Robust multi-task boosting using clustering and local ensembling Tabular data: Deep learning is not all you need

Reference 27

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Observation 50e616ca-9e01-4866-ac6d-eb2af11e1cdb · outbound

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Robust multi-task boosting using clustering and local ensembling XGBoost: A Scalable Tree Boosting System

Reference 28

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Observation da9ba556-86af-4da4-ade0-01f647db63c0 · outbound

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Robust multi-task boosting using clustering and local ensembling LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Reference 29

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Robust multi-task boosting using clustering and local ensembling CatBoost: unbiased boosting with categorical features

Reference 30

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Robust multi-task boosting using clustering and local ensembling Boosted multi-task learning

Reference 31

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Observation c69cf5f4-85ce-417d-ac5c-17aadeeb434f · outbound

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Robust multi-task boosting using clustering and local ensembling Multi-task gradient boosting

Reference 32

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Observation f6a35fda-e4ee-4b97-856b-aed7b2726b9f · outbound

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Robust multi-task boosting using clustering and local ensembling Robust-multi-task gradient boosting

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Robust multi-task boosting using clustering and local ensembling Robust multi-task learning with t-processes

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This paper cites Clustered Multi-Task Learning: A Convex For- mulation.

Robust multi-task boosting using clustering and local ensembling Clustered Multi-Task Learning: A Convex For- mulation

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Observation 2664a54b-403d-4bfb-b86d-180511b53dd3 · outbound

This paper cites Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification.

Robust multi-task boosting using clustering and local ensembling Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification

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Observation 515b9bcc-d3ba-453c-829e-00414c39d4e1 · outbound

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Robust multi-task boosting using clustering and local ensembling Learning a kernel for multi-task clustering

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Robust multi-task boosting using clustering and local ensembling Clustered Multi-Task Learning Via Alternating Structure Optimization

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Observation 40603cc4-de4d-476f-bccc-ccb8a6a799e9 · outbound

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Robust multi-task boosting using clustering and local ensembling Convex Discriminative Multitask Clustering

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Observation 53191e51-f962-423e-b7ac-0120ced78aab · outbound

This paper cites Multitask Spectral Clustering by Exploring Intertask Correlation.

Robust multi-task boosting using clustering and local ensembling Multitask Spectral Clustering by Exploring Intertask Correlation

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Observation c997b317-ea5e-445c-bab6-0e2aedc71538 · outbound

This paper cites Self-Adapted Multi-Task Clustering.

Robust multi-task boosting using clustering and local ensembling Self-Adapted Multi-Task Clustering

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Observation f9bd921c-43b9-45b6-be35-5e112880d76d · outbound

This paper cites Multi-Task Clustering with Model Relation Learning.

Robust multi-task boosting using clustering and local ensembling Multi-Task Clustering with Model Relation Learning

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Observation b27c00d9-cbbb-4eb3-869b-e19ca8ab27f8 · outbound

This paper cites Multi-Task Learning as Multi-Objective Optimization.

Robust multi-task boosting using clustering and local ensembling Multi-Task Learning as Multi-Objective Optimization

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Observation 42607857-f61f-431d-82fe-c18d7bec4166 · outbound

This paper cites Gradient Surgery for Multi-Task Learning.

Robust multi-task boosting using clustering and local ensembling Gradient Surgery for Multi-Task Learning

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Observation 28a84b42-6dc2-484e-bed1-3d33bfca3b11 · outbound

This paper cites Conflict-A verse Gradient Descent for Multi-task learning.

Robust multi-task boosting using clustering and local ensembling Conflict-A verse Gradient Descent for Multi-task learning

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Observation 9eb5a69e-e1fc-4d26-ab44-fd89cd5e7948 · outbound

This paper cites Zamir, Alexander Sax, William Shen, Leonidas J.

Robust multi-task boosting using clustering and local ensembling Zamir, Alexander Sax, William Shen, Leonidas J

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Observation 5cab5479-ddd8-40d1-b77a-16586fa1aac9 · outbound

This paper cites Which Tasks Should Be Learned Together in Multi-task Learning? In Proceedings of the 37th International Conference on Machine Learning , volume 119, pages 9120–9132.

Robust multi-task boosting using clustering and local ensembling Which Tasks Should Be Learned Together in Multi-task Learning? In Proceedings of the 37th International Conference on Machine Learning , volume 119, pages 9120–9132

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Observation e3ac9658-a5e4-4d98-a07c-a92c385767f1 · outbound

This paper cites Sokal and Charles D.

Robust multi-task boosting using clustering and local ensembling Sokal and Charles D

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Observation 029c5e89-ad03-43d7-9234-f40881e5037a · outbound

This paper cites Rousseeuw.

Robust multi-task boosting using clustering and local ensembling Rousseeuw

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Observation f56ff629-c0be-4b6d-b550-88ede7684cf4 · outbound

This paper cites Algorithms for hierarchical clustering: an overview, II.

Robust multi-task boosting using clustering and local ensembling Algorithms for hierarchical clustering: an overview, II

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Observation 3ad91c9f-73d8-4e94-88f6-f73f8432b090 · outbound

This paper cites Random Features for Large-Scale Kernel Machines.

Robust multi-task boosting using clustering and local ensembling Random Features for Large-Scale Kernel Machines

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Observation 869a89cd-9b39-43ac-8d8f-c5fd35cc74f6 · outbound

This paper cites Gaussian processes for machine learning , vol- ume 2.

Robust multi-task boosting using clustering and local ensembling Gaussian processes for machine learning , vol- ume 2

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Observation efc8037b-0fbf-47ea-b1de-faea934b78db · outbound

This paper cites Data Poisoning Attacks on Multi-Task Relationship Learning.

Robust multi-task boosting using clustering and local ensembling Data Poisoning Attacks on Multi-Task Relationship Learning

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Observation b4a7c59b-9349-4370-9c6a-7117cfd00e72 · outbound

This paper cites Taking Advantage of Multitask Learning for Fair Classification.

Robust multi-task boosting using clustering and local ensembling Taking Advantage of Multitask Learning for Fair Classification

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Observation 50e69b50-a716-45c1-b1c6-471f7f607286 · outbound

This paper cites an unresolved cited work.

Robust multi-task boosting using clustering and local ensembling Unresolved cited work

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Observation 927c7f13-9dfa-46cf-bb51-29dc3d1e8571 · outbound

This paper cites Multi-Task Learning with Calibrated Mixture of Insightful Experts.

Robust multi-task boosting using clustering and local ensembling Multi-Task Learning with Calibrated Mixture of Insightful Experts

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Observation c814c6a6-4d9a-4487-b45c-4aab673b141f · outbound

This paper cites Cilia, C.

Robust multi-task boosting using clustering and local ensembling Cilia, C

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Observation 73da266e-3e51-49f4-a312-b5076763e18b · outbound

This paper cites an unresolved cited work.

Robust multi-task boosting using clustering and local ensembling Unresolved cited work

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Observation 5c1d649e-864e-4bc0-984f-965745812f61 · outbound

This paper cites Deep Learning-Based Parkinson’s Disease Classification Using Vocal Feature Sets.

Robust multi-task boosting using clustering and local ensembling Deep Learning-Based Parkinson’s Disease Classification Using Vocal Feature Sets

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Observation ed491dd1-6464-4cea-80fe-79543e0af3b4 · outbound

This paper cites Detection of Parkinson disease using multiclass machine learning approach.

Robust multi-task boosting using clustering and local ensembling Detection of Parkinson disease using multiclass machine learning approach

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Observation 267c8698-54cd-4cdb-bf9b-81b54404ba0b · outbound

This paper cites A Spectral Regularization Framework for Multi-Task Structure Learning.

Robust multi-task boosting using clustering and local ensembling A Spectral Regularization Framework for Multi-Task Structure Learning

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Observation 7e07c474-56d4-47e6-a3eb-b6b8779436b2 · outbound

This paper cites De Stefano, M.

Robust multi-task boosting using clustering and local ensembling De Stefano, M

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Observation aeb64a0d-ccda-483a-abf4-371c6025fdbd · outbound

This paper cites an unresolved cited work.

Robust multi-task boosting using clustering and local ensembling Unresolved cited work

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Observation 246d5f29-25a1-4709-a85a-00ede42a4c8b · outbound

This paper cites Passive Mine Detection and Classification Method Based on Hybrid Model.

Robust multi-task boosting using clustering and local ensembling Passive Mine Detection and Classification Method Based on Hybrid Model

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Observation f4854ec2-13ec-46a7-b2ad-6a4bf312c4cc · outbound

This paper cites an unresolved cited work.

Robust multi-task boosting using clustering and local ensembling Unresolved cited work

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Observation 372d4ca2-a907-4a11-acaa-116a8e2aa8a1 · outbound

This paper cites Lenk, Wayne S.

Robust multi-task boosting using clustering and local ensembling Lenk, Wayne S

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Observation 2e797259-5975-455d-8c67-7649d2a6c409 · outbound

This paper cites Parkinsons Telemonitoring.

Robust multi-task boosting using clustering and local ensembling Parkinsons Telemonitoring

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Observation ec367d69-92c5-4f50-a76f-f8fc2525916d · outbound

This paper cites Efficient Output Kernel Learning for Multiple Tasks.

Robust multi-task boosting using clustering and local ensembling Efficient Output Kernel Learning for Multiple Tasks

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Observation 0323f641-aafd-488c-a5b5-5e070a250695 · outbound

This paper cites Scikit-learn: Machine learning in Python.

Robust multi-task boosting using clustering and local ensembling Scikit-learn: Machine learning in Python

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source=pdf_text observed=2026-08-02T23:19:57.513726Z digest=sha256:ade9cf988bab71d391cb64ba3356ad33891164fc86eca78188730cd42ee6b209

Observation e71bcbb0-0380-470a-aacb-194fd2969bb5 · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets.

Robust multi-task boosting using clustering and local ensembling Statistical comparisons of classifiers over multiple data sets

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Observation dd5fa391-0bb5-4a07-8a85-533d6e36d882 · outbound

This paper cites This leads to instability in the estimated residuals error out i.

Robust multi-task boosting using clustering and local ensembling This leads to instability in the estimated residuals error out i

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Observation 718361d2-9fe0-469e-88b6-061cbe31b850 · outbound

This paper cites an unresolved cited work.

Robust multi-task boosting using clustering and local ensembling Unresolved cited work

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Observation 675ecc1e-c647-4847-9e1b-ed55e47806fb · outbound

This paper cites an unresolved cited work.

Robust multi-task boosting using clustering and local ensembling Unresolved cited work

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source=pdf_text observed=2026-08-02T23:19:51.436176Z digest=sha256:564970003121d4897befc8031157ccbafe4a7828eb890b9c94cba99da8de7b9e

Pith citing papers

Observation a60862b3-2747-4d3a-b018-e36aa54b87a2 · inbound

Parallel gradient boosting for flexible estimation of conditional distributions cites this paper.

Parallel gradient boosting for flexible estimation of conditional distributions Robust multi-task boosting using clustering and local ensembling

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