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NIPS
1998
13 years 9 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
DAWAK
2010
Springer
13 years 8 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar
COGSCI
2008
112views more  COGSCI 2008»
13 years 7 months ago
Humor, Abstraction, and Disbelief
bstraction, and Disbelief Elena Hoicka a ; Sarah Jutsum b ; Merideth Gattis b a Department of Psychology, University of California, Santa Cruz b School of Psychology, Cardiff Unive...
Elena Hoicka, Sarah Jutsum, Merideth Gattis
ICASSP
2011
IEEE
12 years 11 months ago
Secure video processing: Problems and challenges
Secure signal processing is an emerging technology to enable signal processing tasks in a secure and privacy-preserving fashion. It has attracted a great amount of research attent...
Wenjun Lu, Avinash L. Varna, Min Wu
ADBIS
2011
Springer
275views Database» more  ADBIS 2011»
12 years 7 months ago
An Analysis of the Structure and Dynamics of Large-Scale Q/A Communities
Abstract. In recent years, the World Wide Web (WWW) has transformed to a gigantic social network where people interact and collaborate in diverse online communities. By using Web 2...
Daniel Schall, Florian Skopik