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JAIR
2006
110views more  JAIR 2006»
15 years 4 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
AI
2002
Springer
15 years 3 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
IEAAIE
2010
Springer
15 years 1 months ago
Using Remote Data Mining on LIDAR and Imagery Fusion Data to Develop Land Cover Maps
Remote sensing based on imagery has traditionally been the main tool used to extract land uses and land cover (LULC) maps. However, more powerful tools are needed in order to fulfi...
Jorge García-Gutiérrez, Francisco Ma...
CF
2008
ACM
15 years 6 months ago
Cell-SWat: modeling and scheduling wavefront computations on the cell broadband engine
This paper contributes and evaluates a model and a methodology for implementing parallel wavefront algorithms on the Cell Broadband Engine. Wavefront algorithms are vital in sever...
Ashwin M. Aji, Wu-chun Feng, Filip Blagojevic, Dim...
DATE
2003
IEEE
140views Hardware» more  DATE 2003»
15 years 9 months ago
Qualifying Precision of Abstract SystemC Models Using the SystemC Verification Standard
ng precision of abstract SystemC models using the SystemC Verification Standard Franco Carbognani1 , Christopher K. Lennard2 , C. Norris Ip3 , Allan Cochrane2 , Paul Bates2 1 Caden...
Franco Carbognani, Christopher K. Lennard, C. Norr...