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» A New Way to Introduce Knowledge into Reinforcement Learning
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IAT
2008
IEEE
15 years 6 months ago
An Enhanced Similarity Measure for Utilizing Site Structure in Web Personalization Systems
The need for recommendation systems to ease user navigations has become evident by growth of information on the Web. There exist many approaches of learning for Web usage-based re...
Shaghayegh Sahebi, Farhad Oroumchian, Ramtin Khosr...
NAACL
2010
14 years 9 months ago
Not All Seeds Are Equal: Measuring the Quality of Text Mining Seeds
Open-class semantic lexicon induction is of great interest for current knowledge harvesting algorithms. We propose a general framework that uses patterns in bootstrapping fashion ...
Zornitsa Kozareva, Eduard H. Hovy
DIS
2005
Springer
15 years 5 months ago
Support Vector Inductive Logic Programming
Abstract. In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP...
Stephen Muggleton, Huma Lodhi, Ata Amini, Michael ...
EGH
2007
Springer
15 years 6 months ago
Exact and error-bounded approximate color buffer compression and decompression
In this paper, we first present a survey of existing color buffer compression algorithms. After that, we introduce a new scheme based on an exactly reversible color transform, si...
Jim Rasmusson, Jon Hasselgren, Tomas Akenine-M&oum...
ICMLA
2009
14 years 9 months ago
A Syllable-Level Probabilistic Framework for Bird Species Identification
In this paper, we present new probabilistic models for identifying bird species from audio recordings. We introduce the independent syllable model and consider two ways of aggregat...
Balaji Lakshminarayanan, Raviv Raich, Xiaoli Fern