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    BIOCOMP
    2006
    233views Bioinformatics» more  BIOCOMP 2006»
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    13 years 9 months ago
    Dynamic Bayesian Network (DBN) with Structure Expectation Maximization (SEM) for Modeling of Gene Network from Time Series Gene
    Download  ww1.ucmss.com
    Exploring gene regulatory network is a key topic in molecular biology. In this paper, we present a new dynamic Bayesian network (DBN) framework embedded with structural expectatio...
    Yu Zhang, Zhidong Deng, Hongshan Jiang, Peifa Jia
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    COGSCI
    2002
    108views more  COGSCI 2002»
    Statistical models for the induction and use of selectional preferences
    13 years 8 months ago
    Statistical models for the induction and use of selectional preferences
    Download  www.ims.uni-stuttgart.de
    Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
    Marc Light, Warren R. Greiff
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    ACCV
    2010
    Springer
    460views Computer Vision» more  ACCV 2010»
    Abstraction and Generalization of 3D structure for recognition in large intra-class variation
    13 years 9 months ago
    Abstraction and Generalization of 3D structure for recognition in large intra-class variation
    Download  www.eecis.udel.edu
    Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
    Gowri Somanath, Chandra Kambhamettu
    posted by gowri
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    ICPR
    2002
    IEEE
    148views computer vision» more  ICPR 2002»
    Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
    14 years 9 months ago
    Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
    Download  www.icsd.aegean.gr
    Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
    Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
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    PATAT
    2004
    Springer
    130views Education» more  PATAT 2004»
    Learning User Preferences in Distributed Calendar Scheduling
    14 years 1 months ago
    Learning User Preferences in Distributed Calendar Scheduling
    Download  www.ozone.ri.cmu.edu
    Abstract. Within the field of software agents, there has been increasing interest in automating the process of calendar scheduling in recent years. Calendar (or meeting) schedulin...
    Jean Oh, Stephen F. Smith
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