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IPMU
2010
Springer
14 years 8 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek
ICPR
2008
IEEE
15 years 11 months ago
Efficient background modeling through incremental Support Vector Data Description
Background modeling is an essential and important part of many high-level video processing applications. Recently, the Support Vector Data Description (SVDD) has been introduced f...
Alireza Tavakkoli, Mircea Nicolescu, George Bebis,...
DIS
2007
Springer
15 years 4 months ago
Discovering Communicable Models from Earth Science Data
Abstract. This chapter describes how we used regression rules to improve upon results previously published in the Earth science literature. In such a scientific application of mac...
Mark Schwabacher, Pat Langley, Christopher Potter,...
APWEB
2004
Springer
15 years 3 months ago
A Knowledge-Based Data Model and Query Algebra for the Next-Generation Web
The management of voluminous heterogeneous resources and services in the web environment is a complex task. Semantic knowledge is playing an increasing important role in order to h...
Qiujian Sheng, Zhongzhi Shi
DMIN
2008
176views Data Mining» more  DMIN 2008»
14 years 11 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu