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» Evaluating learning algorithms and classifiers
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136
Voted
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 5 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
146
Voted
ICML
2006
IEEE
16 years 5 months ago
Practical solutions to the problem of diagonal dominance in kernel document clustering
In supervised kernel methods, it has been observed that the performance of the SVM classifier is poor in cases where the diagonal entries of the Gram matrix are large relative to ...
Derek Greene, Padraig Cunningham
178
Voted
CHI
2011
ACM
14 years 8 months ago
Evaluating the benefits of 3d stereo in modern video games
We present a study that investigates user performance benefits of 3D stereo in modern video games. Based on an analysis of several video games that are best suited for use with co...
Joseph J. LaViola Jr., Tad Litwiller
EMNLP
2010
15 years 2 months ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian
ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
15 years 10 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park