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ICPR
2006
IEEE
14 years 8 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
CSB
2003
IEEE
14 years 28 days ago
A Probabilistic Model for Identifying Protein Names and their Name Boundaries
This paper proposes a method for identifying protein names in biomedical texts with an emphasis on detecting protein name boundaries. We use a probabilistic model which exploits s...
Kazuhiro Seki, Javed Mostafa
TSP
2008
109views more  TSP 2008»
13 years 7 months ago
An Affine Combination of Two LMS Adaptive Filters - Transient Mean-Square Analysis
This paper studies the statistical behavior of an affine combination of the outputs of two least mean-square (LMS) adaptive filters that simultaneously adapt using the same white G...
Neil J. Bershad, José Carlos M. Bermudez, J...
WWW
2005
ACM
14 years 8 months ago
Association search in semantic web: search + inference
Association search is to search for certain instances in semantic web and then make inferences from and about the instances we have found. In this paper, we propose the problem of...
Bangyong Liang, Jie Tang, Juan-Zi Li
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
14 years 8 months ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...