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    APBC
    2004
    132views Bioinformatics» more  APBC 2004»
    Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
    13 years 10 months ago
    Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
    Download  crpit.com
    Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
    Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...
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    AIIDE
    2006
    107views Artificial Intelligence» more  AIIDE 2006»
    Predicting User Physiological Response for Interactive Environments: An Inductive Approach
    13 years 10 months ago
    Predicting User Physiological Response for Interactive Environments: An Inductive Approach
    Download  research.csc.ncsu.edu
    Affective reasoning holds great potential for interactive digital entertainment, education, and training. Incorporating affective reasoning into the decision-making capabilities o...
    Scott W. McQuiggan, Sunyoung Lee, James C. Lester
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    BIOCOMP
    2006
    102views Bioinformatics» more  BIOCOMP 2006»
    TALI: Protein Structure Alignment Using Backbone Torsion Angles
    13 years 10 months ago
    TALI: Protein Structure Alignment Using Backbone Torsion Angles
    Download  ww1.ucmss.com
    - This article introduces a novel protein structure alignment method (named TALI) based on protein backbone torsion angle instead of the more traditional distance matrix. Represent...
    Xijiang Miao, Michael Bryson, Homayoun Valafar
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    NIPS
    2003
    116views Information Technology» more  NIPS 2003»
    Unsupervised Context Sensitive Language Acquisition from a Large Corpus
    13 years 10 months ago
    Unsupervised Context Sensitive Language Acquisition from a Large Corpus
    Download  kybele.psych.cornell.edu
    We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
    Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
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    UAI
    2003
    278views Artificial Intelligence» more  UAI 2003»
    Bayesian Hierarchical Mixtures of Experts
    13 years 10 months ago
    Bayesian Hierarchical Mixtures of Experts
    Download  research.microsoft.com
    The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
    Christopher M. Bishop, Markus Svensén
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