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ECML
2005
Springer
15 years 6 months ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...
LOCA
2009
Springer
15 years 5 months ago
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
Maja Stikic, Bernt Schiele
ACL
2010
14 years 10 months ago
Using Smaller Constituents Rather Than Sentences in Active Learning for Japanese Dependency Parsing
We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing an...
Manabu Sassano, Sadao Kurohashi
99
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ICML
2001
IEEE
16 years 1 months ago
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
Nicholas Roy, Andrew McCallum
ECML
2006
Springer
15 years 4 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo