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» Evaluating Algorithms for Concept Description
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PRL
2007
155views more  PRL 2007»
13 years 8 months ago
Integrated patch model: A generative model for image categorization based on feature selection
Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
Feng Xu, Yu-Jin Zhang
DLOG
2009
13 years 6 months ago
Revision of DL-Lite Knowledge Bases
Abstract. We address the revision problem for knowledge bases (KBs) in Description Logics (DLs). This problem has received much attention in the ontology management and DL communit...
Zhe Wang, Kewen Wang, Rodney W. Topor
GI
2009
Springer
13 years 6 months ago
A Modular Framework to Detect and Analyze Faces for Audience Measurement Systems
: In this paper we describe an approach that enables the detection, tracking and fine analysis (classification of gender and facial expression) of faces using a single web camera. ...
Christian Küblbeck, Tobias Ruf, Andreas Ernst
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 7 days ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
IJCNN
2008
IEEE
14 years 3 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...