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ML
2002
ACM
223views Machine Learning» more  ML 2002»
15 years 3 months ago
Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
Edda Leopold, Jörg Kindermann
ICDE
1997
IEEE
112views Database» more  ICDE 1997»
16 years 5 months ago
WOL: A Language for Database Transformations and Constraints
The need to transform data between heterogeneous databases arises from a number of critical tasks in data management. These tasks are complicated by schema evolution in the underl...
Susan B. Davidson, Anthony Kosky
REFLECTION
2001
Springer
15 years 8 months ago
Performance and Integrity in the OpenORB Reflective Middleware
, are to address what we perceive as the most pressing shortcomings of current reflective middleware platforms. First, performance: in the worst case, this needs to be on a par wit...
Gordon S. Blair, Geoff Coulson, Michael Clarke, Ni...
148
Voted
MMAS
2004
Springer
15 years 9 months ago
Virtual Space Ontologies for Scripting Agents
Interactive multi-agent system improves reusability of agents by separating application design from agent design. However, it remains difficult for application designers (usually n...
Zhiqiang Gao, Liqun Ren, Yuzhong Qu, Toru Ishida
153
Voted
SSPR
2010
Springer
15 years 2 months ago
An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces
The aim of this paper is to find an answer to the question: What is the difference between dissimilarity-based classifications(DBCs) and other kernelbased classifications(KBCs)?...
Sang-Woon Kim, Robert P. W. Duin