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» On the Hamkins approximation property
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IJCAI
1997
15 years 7 months ago
An Effective Learning Method for Max-Min Neural Networks
Max and min operations have interesting properties that facilitate the exchange of information between the symbolic and real-valued domains. As such, neural networks that employ m...
Loo-Nin Teow, Kia-Fock Loe
DAGSTUHL
1990
15 years 7 months ago
Integrating Rules and Connectionism for Robust Reasoning
A connectionist model for robust reasoning, CONSYDERR, is proposed to account for some common reasoning patterns found in commonsense reasoning and to remedy the brittleness probl...
Ron Sun
ICMCS
2010
IEEE
258views Multimedia» more  ICMCS 2010»
15 years 7 months ago
A comparative study of similarity measures for content-based multimedia retrieval
Determining similarities among data objects is a core task of content-based multimedia retrieval systems. Approximating data object contents via flexible feature representations, ...
Christian Beecks, Merih Seran Uysal, Thomas Seidl
ICML
2010
IEEE
15 years 7 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
APLAS
2010
ACM
15 years 6 months ago
Model Independent Order Relations for Processes
Semantic preorders between processes are usually applied in practice to model approximation or implementation relationships. For interactive models these preorders depend crucially...
Chaodong He