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» Using GP to Model Contextual Human Behavior
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SIGIR
2009
ACM
14 years 2 months ago
Predicting user interests from contextual information
Search and recommendation systems must include contextual information to effectively model users’ interests. In this paper, we present a systematic study of the effectiveness of...
Ryen W. White, Peter Bailey, Liwei Chen
GECCO
2004
Springer
14 years 1 months ago
Program Evolution by Integrating EDP and GP
This paper discusses the performance of a hybrid system which consists of EDP and GP. EDP, Estimation of Distribution Programming, is the program evolution method based on the prob...
Kohsuke Yanai, Hitoshi Iba
JMLR
2010
141views more  JMLR 2010»
13 years 2 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
ICIRA
2009
Springer
200views Robotics» more  ICIRA 2009»
14 years 2 months ago
Classifying 3D Human Motions by Mixing Fuzzy Gaussian Inference with Genetic Programming
This paper combines the novel concept of Fuzzy Gaussian Inference(FGI) with Genetic Programming (GP) in order to accurately classify real natural 3d human Motion Capture data. FGI ...
Mehdi Khoury, Honghai Liu
CHI
2008
ACM
14 years 8 months ago
The design of gaze behavior for embodied social interfaces
Non-verbal behavior, particularly gaze, is a crucial part of human communication. To interact with humans in a rich, natural way, social interfaces need to use this communicative ...
Bilge Mutlu