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» An empirical comparison of supervised learning algorithms
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104
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JMLR
2008
100views more  JMLR 2008»
14 years 11 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
IEAAIE
2010
Springer
14 years 9 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...
102
Voted
ICDIM
2007
IEEE
15 years 6 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
IJCAI
1997
15 years 29 days ago
Reasoning Symbolically About Partially Matched Cases
In teaching case-based argumentation skills, the CATO program, an intelligent learning environment, guides students' assessments of partial matches between problems and cases...
Kevin D. Ashley, Vincent Aleven
ICML
2007
IEEE
16 years 13 days ago
Efficient inference with cardinality-based clique potentials
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi