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FOCS
1999
IEEE
13 years 9 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
CVPR
2009
IEEE
14 years 12 months ago
Domain Transfer SVM for Video Concept Detection
Cross-domain learning methods have shown promising results by leveraging labeled patterns from auxiliary domains to learn a robust classifier for target domain, which has a limi...
Dong Xu, Ivor Wai-Hung Tsang, Lixin Duan, Stephen ...
WSC
2008
13 years 7 months ago
Multiple worlds in simulation games for spatial decision making: Concept and architecture
In this paper we present the use of "what-if"-analysis in simulation games for spatial decision making by introducing the concept of multiple worlds. We expect that &quo...
Michele Fumarola, Alexander Verbraeck
AAAI
1997
13 years 6 months ago
Building Concept Representations from Reusable Components
Our goal is to build knowledge-based systems capable of answering a wide variety of questions, including questions that are unanticipated when the knowledge base is built. For sys...
Peter Clark, Bruce W. Porter
IJCNN
2007
IEEE
13 years 11 months ago
Integrating a Flexible Representation Machinery in a Model of Human Concept Learning
— High-order human cognition involves processing of abstract and categorically represented knowledge. Traditionally, it has been considered that there is a single innate internal...
Toshihiko Matsuka, Yasuaki Sakamoto