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» Reinforcement Learning Based on On-Line EM Algorithm
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ML
2000
ACM
150views Machine Learning» more  ML 2000»
14 years 9 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
92
Voted
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
15 years 10 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
CVPR
2008
IEEE
15 years 11 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
FCSC
2007
159views more  FCSC 2007»
14 years 9 months ago
Ranking with uncertain labels and its applications
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
Shuicheng Yan, Huan Wang, Jianzhuang Liu, Xiaoou T...
ICIAP
2001
Springer
15 years 10 months ago
A Probabilistic Model for the Human Skin Color
We present a multivariate statistical model to represent the human skin color. In our approach, there are no limitations regarding if the person is white or black, once the model ...
Tibério S. Caetano, Dante Augusto Couto Bar...