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» Modeling Classification and Inference Learning
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CVPR
2008
IEEE
16 years 2 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...
119
Voted
IANDC
2007
81views more  IANDC 2007»
15 years 19 days ago
Some natural conditions on incremental learning
The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requirements s...
Sanjay Jain, Steffen Lange, Sandra Zilles
AAAI
1996
15 years 2 months ago
Learning Models of Intelligent Agents
Agents that operate in a multi-agent system need an efficient strategy to handle their encounters with other agents involved. Searching for an optimal interactive strategy is a ha...
David Carmel, Shaul Markovitch
122
Voted
CIKM
2006
Springer
15 years 4 months ago
A comparative study on classifying the functions of web page blocks
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
108
Voted
CVPR
2007
IEEE
16 years 2 months ago
Region Classification with Markov Field Aspect Models
Considerable advances have been made in learning to recognize and localize visual object classes. Simple bag-offeature approaches label each pixel or patch independently. More adv...
Jakob J. Verbeek, Bill Triggs