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182
Voted
MLG
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
128
Voted
ML
2008
ACM
15 years 2 months ago
2008
ACM
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
118
Voted
ECML
2007
Springer
15 years 8 months ago
2007
Springer
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
138
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
111
Voted
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...