Risultati ricerca autore :: Library Catalog

1

Learning from Data Streams: An Overview and Update Autoría: Read, Jesse, Žliobaitė, Indrė

Pubblicazione 2022

Fuente: arXiv

Tipo de material: Preprint

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2

Online Learning of Decision Trees with Thompson Sampling Autoría: Chaouki, Ayman, Read, Jesse, Bifet, Albert

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO* Autoría: Chaouki, Ayman, Read, Jesse, Bifet, Albert

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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Estimating Conditional Covariance between labels for Multilabel Data Autoría: Park, Laurence A. F., Read, Jesse

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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5

I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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6

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach Autoría: Elliker, Clément, Read, Jesse, Vanier, Sonia, Bifet, Albert

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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7

STEP: Learning STructured Embeddings for Progressive Time Series Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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8

Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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9

Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume Florent

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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10

Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate Autoría: C., Simo Alami, Kaddah, Rim, Read, Jesse, Cani, Marie-Paule

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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11

Binary Split Categorical feature with Mean Absolute Error Criteria in CART Autoría: Yu, Peng, Chen, Yike, Xu, Chao, Bifet, Albert, Read, Jesse

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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12

Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Autoría: Ayad, Célia Wafa, Bonnier, Thomas, Bosch, Benjamin, Parbhoo, Sonali, Read, Jesse

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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13

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation Autoría: Leyli-Abadi, Milad, Thil, Lucas, Razakarivony, Sebastien, Doquet, Guillaume, Read, Jesse

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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14

Label Cluster Chains for Multi-Label Classification Autoría: Gatto, Elaine Cecília, Kenji, Felipe Nakano, Read, Jesse, Ferrandin, Mauri, Cerri, Ricardo, Vens, Celine

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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Learning from Data Streams: An Overview and Update Autoría: Read, Jesse, Žliobaitė, Indrė

Online Learning of Decision Trees with Thompson Sampling Autoría: Chaouki, Ayman, Read, Jesse, Bifet, Albert

Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO* Autoría: Chaouki, Ayman, Read, Jesse, Bifet, Albert

Estimating Conditional Covariance between labels for Multilabel Data Autoría: Park, Laurence A. F., Read, Jesse

I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach Autoría: Elliker, Clément, Read, Jesse, Vanier, Sonia, Bifet, Albert

STEP: Learning STructured Embeddings for Progressive Time Series Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume Florent

Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate Autoría: C., Simo Alami, Kaddah, Rim, Read, Jesse, Cani, Marie-Paule

Binary Split Categorical feature with Mean Absolute Error Criteria in CART Autoría: Yu, Peng, Chen, Yike, Xu, Chao, Bifet, Albert, Read, Jesse

Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Autoría: Ayad, Célia Wafa, Bonnier, Thomas, Bosch, Benjamin, Parbhoo, Sonali, Read, Jesse

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation Autoría: Leyli-Abadi, Milad, Thil, Lucas, Razakarivony, Sebastien, Doquet, Guillaume, Read, Jesse

Label Cluster Chains for Multi-Label Classification Autoría: Gatto, Elaine Cecília, Kenji, Felipe Nakano, Read, Jesse, Ferrandin, Mauri, Cerri, Ricardo, Vens, Celine

Risultati della ricerca - Read, Jesse

Learning from Data Streams: An Overview and Update Autoría: Read, Jesse, Žliobaitė, Indrė

Online Learning of Decision Trees with Thompson Sampling Autoría: Chaouki, Ayman, Read, Jesse, Bifet, Albert

Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO* Autoría: Chaouki, Ayman, Read, Jesse, Bifet, Albert

Estimating Conditional Covariance between labels for Multilabel Data Autoría: Park, Laurence A. F., Read, Jesse

I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach Autoría: Elliker, Clément, Read, Jesse, Vanier, Sonia, Bifet, Albert

STEP: Learning STructured Embeddings for Progressive Time Series Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume

Uncertainty Quantification as a Complementary Latent Health Indicator for Remaining Useful Life Prediction on Turbofan Engines Autoría: Thil, Lucas, Read, Jesse, Kaddah, Rim, Doquet, Guillaume Florent

Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate Autoría: C., Simo Alami, Kaddah, Rim, Read, Jesse, Cani, Marie-Paule

Binary Split Categorical feature with Mean Absolute Error Criteria in CART Autoría: Yu, Peng, Chen, Yike, Xu, Chao, Bifet, Albert, Read, Jesse

Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models Autoría: Ayad, Célia Wafa, Bonnier, Thomas, Bosch, Benjamin, Parbhoo, Sonali, Read, Jesse

A Machine Learning Framework for Turbofan Health Estimation via Inverse Problem Formulation Autoría: Leyli-Abadi, Milad, Thil, Lucas, Razakarivony, Sebastien, Doquet, Guillaume, Read, Jesse

Label Cluster Chains for Multi-Label Classification Autoría: Gatto, Elaine Cecília, Kenji, Felipe Nakano, Read, Jesse, Ferrandin, Mauri, Cerri, Ricardo, Vens, Celine

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