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ML
2007
ACM
106views Machine Learning» more  ML 2007»
13 years 9 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ICDAR
2011
IEEE
12 years 9 months ago
HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents
—For historical documents, available transcriptions typically are inaccurate when compared with the scanned document images. Not only the position of the words and sentences are ...
Andreas Fischer, Emanuel Indermühle, Volkmar ...
CVPR
2007
IEEE
15 years 2 days ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
AIIDE
2008
14 years 12 days ago
Modeling the Dynamics of Non-Player Characters' Social Relations in Video Games
Building credible Non-Playing Characters (NPCs) in games requires not only to enhance the graphic animation but also the behavioral model. This paper tackles the problem of the dy...
Magalie Ochs, Nicolas Sabouret, Vincent Corruble
WEBI
2009
Springer
14 years 4 months ago
Adapting Reinforcement Learning for Trust: Effective Modeling in Dynamic Environments
—In open multiagent systems, agents need to model their environments in order to identify trustworthy agents. Models of the environment should be accurate so that decisions about...
Özgür Kafali, Pinar Yolum