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» Complexity of Inference in Graphical Models
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AAMAS
2005
Springer
13 years 8 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
AII
1992
14 years 1 months ago
Learning from Multiple Sources of Inaccurate Data
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
Ganesh Baliga, Sanjay Jain, Arun Sharma
CSDA
2006
169views more  CSDA 2006»
13 years 9 months ago
Generalized structured additive regression based on Bayesian P-splines
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
Andreas Brezger, Stefan Lang
LOBJET
2000
140views more  LOBJET 2000»
13 years 8 months ago
Early Measures for UML Class Diagrams
:Building software models before implementing them has become widely accepted in the software industry. Object models, graphically represented by class diagrams, lay the foundation...
Marcela Genero, Mario Piattini, Coral Calero
CIKM
2008
Springer
13 years 11 months ago
Academic conference homepage understanding using constrained hierarchical conditional random fields
We address the problem of academic conference homepage understanding for the Semantic Web. This problem consists of three labeling tasks - labeling conference function pages, func...
Xin Xin, Juanzi Li, Jie Tang, Qiong Luo