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Machine Learning (ML) - December 2008, issue 3 论文列表

本期论文列表
Inductive transfer with context-sensitive neural networks

Transfer in variable-reward hierarchical reinforcement learning

Guest editor’s introduction: special issue on inductive transfer learning

Flexible latent variable models for multi-task learning

Convex multi-task feature learning

A notion of task relatedness yielding provable multiple-task learning guarantees

Decision trees for hierarchical multi-label classification

Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning

Multilabel classification via calibrated label ranking

Boosted Bayesian network classifiers

Guest editors’ introduction: special issue on inductive logic programming (ILP-2007)

Structured machine learning: the next ten years

Learning to assign degrees of belief in relational domains

Learning probabilistic logic models from probabilistic examples

A bias/variance decomposition for models using collective inference