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» Learning Gaussian processes from multiple tasks
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133
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UAI
2004
15 years 4 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
118
Voted
LREC
2008
78views Education» more  LREC 2008»
15 years 5 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn
108
Voted
MLCW
2005
Springer
15 years 9 months ago
The PASCAL Recognising Textual Entailment Challenge
This paper describes the PASCAL Network of Excellence first Recognising Textual Entailment (RTE-1) Challenge benchmark1 . The RTE task is defined as recognizing, given two text f...
Ido Dagan, Oren Glickman, Bernardo Magnini
136
Voted
NIPS
1994
15 years 4 months ago
Catastrophic Interference in Human Motor Learning
Biological sensorimotor systems are not static maps that transform input sensory information into output motor behavior. Evidence from many lines of research suggests that their r...
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
142
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ICMLA
2009
15 years 1 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson