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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 4 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
ACL
2004
13 years 11 months ago
Alternative approaches for Generating Bodies of Grammar Rules
We compare two approaches for describing and generating bodies of rules used for natural language parsing. In today's parsers rule bodies do not exist a priori but are genera...
Gabriel G. Infante López, Maarten de Rijke
NIPS
2001
13 years 11 months ago
Latent Dirichlet Allocation
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
David M. Blei, Andrew Y. Ng, Michael I. Jordan
AAAI
2011
12 years 10 months ago
Abductive Markov Logic for Plan Recognition
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
Parag Singla, Raymond J. Mooney
CVPR
2007
IEEE
14 years 12 months ago
Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMilla...