Sciweavers

    648 search results - page 26 / 130
    » Large Margin Classification Using the Perceptron Algorithm
    Sort
    View
    NIPS
    2007
    124views Information Technology» more  NIPS 2007»
    A Risk Minimization Principle for a Class of Parzen Estimators
    13 years 9 months ago
    A Risk Minimization Principle for a Class of Parzen Estimators
    Download  books.nips.cc
    This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
    Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
    claim paper
    Read More »
    COMPSAC
    2007
    IEEE
    114views Software Engineering» more  COMPSAC 2007»
    AOP-based automated unit test classification of large benchmarks
    13 years 11 months ago
    AOP-based automated unit test classification of large benchmarks
    Download  staff.aist.go.jp
    Despite the availability of a variety of program analysis tools, evaluation of these tools is difficult, as only few benchmark suites exist. Existing benchmark suites lack the uni...
    Cyrille Artho, Zhongwei Chen, Shinichi Honiden
    claim paper
    Read More »
    FLAIRS
    2003
    187views Artificial Intelligence» more  FLAIRS 2003»
    Algorithms for Large Scale Markov Blanket Discovery
    13 years 9 months ago
    Algorithms for Large Scale Markov Blanket Discovery
    Download  www.aaai.org
    This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
    Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
    claim paper
    Read More »
    ESANN
    2006
    114views Neural Networks» more  ESANN 2006»
    Non-linear gating network for the large scale classification model CombNET-II
    13 years 9 months ago
    Non-linear gating network for the large scale classification model CombNET-II
    Download  www.dice.ucl.ac.be
    The linear gating classifier (stem network) of the large scale model CombNET-II has been always the limiting factor which restricts the number of the expert classifiers (branch net...
    Mauricio Kugler, Toshiyuki Miyatani, Susumu Kuroya...
    claim paper
    Read More »
    SDM
    2004
    SIAM
    214views Data Mining» more  SDM 2004»
    Making Time-Series Classification More Accurate Using Learned Constraints
    13 years 9 months ago
    Making Time-Series Classification More Accurate Using Learned Constraints
    Download  www.cs.ucr.edu
    It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
    Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
    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.