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» Exact Learning of Multivalued Dependencies
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ICML
2007
IEEE
14 years 5 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
JMLR
2012
11 years 7 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
ICRA
2008
IEEE
121views Robotics» more  ICRA 2008»
13 years 11 months ago
Trajectory inverse kinematics by conditional density modes
Abstract— We present a machine learning approach for trajectory inverse kinematics: given a trajectory in workspace, to find a feasible trajectory in angle space. The method lea...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
ATAL
2006
Springer
13 years 8 months ago
Predicting people's bidding behavior in negotiation
This paper presents a statistical learning approach to predicting people's bidding behavior in negotiation. Our study consists of multiple 2-player negotiation scenarios wher...
Ya'akov Gal, Avi Pfeffer
COLING
2008
13 years 6 months ago
ILP-based Conceptual Analysis for Chinese NPs
In this paper, we explore a conceptual resource for Chinese nominal phrases, which allows multi-dependency and distinction between dependency and the corresponding exact relation....
Paul D. Ji, Stephen G. Pulman