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TIP
2010
155views more  TIP 2010»
13 years 6 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
JMLR
2008
230views more  JMLR 2008»
13 years 7 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
EOR
2011
140views more  EOR 2011»
13 years 2 months ago
Power indices of simple games and vector-weighted majority games by means of binary decision diagrams
A simple game is a pair consisting of a finite set N of players and a set W ⊆ 2N of winning coalitions. (Vector-)weighted majority games ((V)WMG) are a special case of simple ga...
Stefan Bolus
WWW
2007
ACM
14 years 8 months ago
Just the right amount: extracting modules from ontologies
The ability to extract meaningful fragments from an ontology is key for ontology re-use. We propose a definition of a module that guarantees to completely capture the meaning of a...
Bernardo Cuenca Grau, Ian Horrocks, Yevgeny Kazako...
SPIN
2007
Springer
14 years 1 months ago
Towards Model Checking Spatial Properties with SPIN
Abstract. We present an approach for the verication of spatial properties with Spin. We rst extend one of Spin's main property specication mechanisms, i.e., the linear-time...
Alberto Lluch-Lafuente