Sciweavers

    295 search results - page 8 / 59
    » Statistical Methods for Construction of Neural Networks
    Sort
    View
    NAACL
    2003
    106views Computational Linguistics» more  NAACL 2003»
    Inducing History Representations for Broad Coverage Statistical Parsing
    13 years 10 months ago
    Inducing History Representations for Broad Coverage Statistical Parsing
    Download  acl.ldc.upenn.edu
    We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical le...
    James Henderson
    claim paper
    Read More »
    BMCBI
    2004
    133views more  BMCBI 2004»
    Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
    13 years 8 months ago
    Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
    Download  www.biomedcentral.com
    Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
    Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
    claim paper
    Read More »
    BMCBI
    2006
    109views more  BMCBI 2006»
    GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
    13 years 8 months ago
    GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease
    Download  www.biomedcentral.com
    Background: The identification and characterization of genes that influence the risk of common, complex multifactorial disease primarily through interactions with other genes and ...
    Alison A. Motsinger, Stephen L. Lee, George Mellic...
    claim paper
    Read More »
    ISNN
    2007
    Springer
    120views Neural Networks» more  ISNN 2007»
    Neural-Based Separating Method for Nonlinear Mixtures
    14 years 2 months ago
    Neural-Based Separating Method for Nonlinear Mixtures
    Download  www.cil.pku.edu.cn
    A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
    Ying Tan
    claim paper
    Read More »
    ICML
    2003
    IEEE
    137views Machine Learning» more  ICML 2003»
    The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
    14 years 9 months ago
    The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
    Download  www.hpl.hp.com
    We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
    Gavin Brown, Jeremy L. Wyatt
    claim paper
    Read More »
    Explore & Download
    Proceedings Preprints Top 5 Ranked Papers Publications Books Software Tutorials Presentations Lectures Notes Datasets
    Productivity Tools
    International On-screen Keyboard Graphical Social Symbols OCR Text Recognition CSS3 Style Generator Web Page to PDF Web Page to Image PDF Split PDF Merge Latex Equation Editor Sci2ools
    Document Tools
    PDF to Text PDF to Postscript PDF to Thumbnails Excel to PDF Word to PDF Postscript to PDF PowerPoint to PDF Latex to Word Repair Corrupted PDF
    Image Tools
    JPG to PS JPG to PDF Extract Images from PDF Image Converter
    Sciweavers
    About Community Cookies Privacy Policy Terms of Use

    Copyright © Sciweavers LLC, 2009-2024, USA.