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KDD
2004
ACM
124views Data Mining» more  KDD 2004»
14 years 1 months ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
WEBDB
2001
Springer
137views Database» more  WEBDB 2001»
14 years 3 days ago
Using Database Technology to Improve Performance of Web Proxy Servers
In this paper, we propose to use database technology to improve performance of web proxy servers. We view the cache at a proxy server as a web warehouse with data organized in a h...
Kai Cheng, Yahiko Kambayashi, Mukesh K. Mohania
STOC
1997
ACM
97views Algorithms» more  STOC 1997»
13 years 12 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
AAAI
2007
13 years 10 months ago
Comprehending and Generating Apt Metaphors: A Web-driven, Case-based Approach to Figurative Language
Examples of figurative language can range from the explicit and the obvious to the implicit and downright enigmatic. Some simpler forms, like simile, often wear their meanings on...
Tony Veale, Yanfen Hao
CONEXT
2007
ACM
13 years 9 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek