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SETN
2004
Springer
14 years 1 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
ISNN
2010
Springer
14 years 1 months ago
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
Shengbo Guo, Scott Sanner
MTA
2000
165views more  MTA 2000»
13 years 8 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
INFSOF
2006
129views more  INFSOF 2006»
13 years 8 months ago
An interactive service customization model
: Mass customization has become one of the key strategies for a service provider to differentiate itself from its competitors in a highly segmented global service market. This pape...
Jian Cao, Jie Wang, Kincho H. Law, Shen-sheng Zhan...
ICWS
2007
IEEE
13 years 10 months ago
Improved Adaptation of Web Service Compositions Using Value of Changed Information
Workflows often operate in volatile environments in which the component services’ QoS changes frequently. Optimally adapting to these changes becomes an important problem that ...
Girish Chafle, Prashant Doshi, John Harney, Sumit ...