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» Learning and Generalization with the Information Bottleneck
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IUI
2009
ACM
15 years 6 months ago
A probabilistic mental model for estimating disruption
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effec...
Bowen Hui, Grant Partridge, Craig Boutilier
ICPP
2008
IEEE
15 years 4 months ago
Parallelization and Characterization of Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong...
ICPADS
2005
IEEE
15 years 3 months ago
Distributed Spanning Tree Algorithms for Large Scale Traversals
— The Distributed Spanning Tree (DST) is an overlay structure designed to be scalable. It supports the growth from small scale to large scale. The DST is a tree without bottlenec...
Sylvain Dahan
FOCI
2007
IEEE
15 years 4 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
TROB
2008
207views more  TROB 2008»
14 years 9 months ago
Learning Object Affordances: From Sensory-Motor Coordination to Imitation
Affordances encode relationships between actions, objects and effects. They play an important role on basic cognitive capabilities such as prediction and planning. We address the p...
Luis Montesano, Manuel Lopes, Alexandre Bernardino...