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» A theory of learning from different domains
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KDD
1999
ACM
185views Data Mining» more  KDD 1999»
15 years 5 months ago
User-Driven Navigation Pattern Discovery from Internet Data
Managers of electronic commerce sites need to learn as much as possible about their customers and those browsing their virtual premises, in order to maximise the return on marketin...
Matthias Baumgarten, Alex G. Büchner, Sarabjo...
ICB
2009
Springer
251views Biometrics» more  ICB 2009»
15 years 8 months ago
Heterogeneous Face Recognition from Local Structures of Normalized Appearance
Abstract. Heterogeneous face images come from different lighting conditions or different imaging devices, such as visible light (VIS) and near infrared (NIR) based. Because heter...
ShengCai Liao, Dong Yi, Zhen Lei, Rui Qin, Stan Z....
122
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WWW
2009
ACM
16 years 2 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth
AIED
2009
Springer
15 years 8 months ago
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System
A basic question of instruction is how effective it is in promoting student learning. This paper presents a study determining the relative efficacy of different instructional conte...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck
ESANN
2008
15 years 3 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...