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KAIS
2006
121views more  KAIS 2006»
15 years 3 months ago
Using discriminant analysis for multi-class classification: an experimental investigation
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
Tao Li, Shenghuo Zhu, Mitsunori Ogihara
ICALT
2007
IEEE
15 years 9 months ago
Educational Information Search Service Using Ontology
This paper describe the case study of developing and providing the ontology-based educational information search service to overcome the limitations of the existing keyword-based ...
Byoungchol Chang, Dall-ho Ham, Daesung Moon, Yong ...
ML
2000
ACM
154views Machine Learning» more  ML 2000»
15 years 2 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
ISBI
2009
IEEE
15 years 9 months ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
ISSTA
2006
ACM
15 years 9 months ago
Improving distributed memory applications testing by message perturbation
We present initial work on perturbation techniques that cause the manifestation of timing-related bugs in distributed memory Message Passing Interface (MPI)-based applications. Th...
Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan...