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» Fast NML Computation for Naive Bayes Models
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EDM
2008
127views Data Mining» more  EDM 2008»
13 years 10 months ago
Adaptive Test Design with a Naive Bayes Framework
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
14 years 1 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
SAC
2005
ACM
14 years 2 months ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
RSKT
2010
Springer
13 years 7 months ago
Naive Bayesian Rough Sets
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Yiyu Yao, Bing Zhou
ECCV
2010
Springer
14 years 20 days ago
The Semi-Explicit Shape Model for Multi-object Detection and Classification
We propose a model for classification and detection of object classes where the number of classes may be large and where multiple instances of object classes may be present in an i...