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» Is an ordinal class structure useful in classifier learning
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PPSN
2004
Springer
14 years 2 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
PAKDD
2009
ACM
126views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Tree-Based Method for Classifying Websites Using Extended Hidden Markov Models
One important problem proposed recently in the field of web mining is website classification problem. The complexity together with the necessity to have accurate and fast algorit...
Majid Yazdani, Milad Eftekhar, Hassan Abolhassani
COLING
2002
13 years 8 months ago
Learning Question Classifiers
In order to respond correctly to a free form factual question given a large collection of texts, one needs to understand the question to a level that allows determining some of th...
Xin Li, Dan Roth
CVPR
2004
IEEE
14 years 11 days ago
Parts-Based 3D Object Classification
This paper presents a parts-based method for classifying scenes of 3D objects into a set of pre-determined object classes. Working at the part level, as opposed to the whole objec...
Daniel F. Huber, Anuj Kapuria, Raghavendra Donamuk...
CVPR
2005
IEEE
14 years 10 months ago
Classification of Contour Shapes Using Class Segment Sets
Both example-based and model-based approaches for classifying contour shapes can encounter difficulties when dealing with classes that have large nonlinear variability, especially...
Kang B. Sun, Boaz J. Super