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KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 10 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
ACMICEC
2005
ACM
121views ECommerce» more  ACMICEC 2005»
14 years 3 months ago
A dynamic Bayesian analysis of the drivers of Internet firm survival
We study the impact of a set of industry, firm- and e-commerce-related factors on Internet firm survival. Through the use of one age-based and another calendar time-based Bayesian...
Sudipto Banerjee, Robert J. Kauffman, Bin Wang
CSL
2010
Springer
13 years 9 months ago
Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
Blaise Thomson, Steve Young
BIOINFORMATICS
2011
13 years 1 months ago
A method for probing the mutational landscape of amyloid structure
Motivation: Proteins of all kinds can self-assemble into highly ordered β-sheet aggregates known as amyloid fibrils, important both biologically and clinically. However, the spe...
Charles W. O'Donnell, Jérôme Waldisp&...
KDD
2010
ACM
253views Data Mining» more  KDD 2010»
14 years 1 months ago
Mining periodic behaviors for moving objects
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...
Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, P...