Sciweavers

    686 search results - page 99 / 138
    » Minimax Probability Machine
    Sort
    View
    ML
    2008
    ACM
    150views Machine Learning» more  ML 2008»
    Learning probabilistic logic models from probabilistic examples
    13 years 9 months ago
    Learning probabilistic logic models from probabilistic examples
    Download  ftp.cs.wisc.edu
    Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
    Jianzhong Chen, Stephen Muggleton, José Car...
    claim paper
    Read More »
    PAMI
    2008
    302views more  PAMI 2008»
    Learning to Detect Moving Shadows in Dynamic Environments
    13 years 9 months ago
    Learning to Detect Moving Shadows in Dynamic Environments
    Download  www-users.cs.umn.edu
    We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
    Ajay J. Joshi, Nikolaos Papanikolopoulos
    claim paper
    Read More »
    TVLSI
    2008
    151views more  TVLSI 2008»
    Guest Editorial Special Section on Design Verification and Validation
    13 years 9 months ago
    Guest Editorial Special Section on Design Verification and Validation
    Download  www.princeton.edu
    ion levels. The framework also supports the generation of test constraints, which can be satisfied using a constraint solver to generate tests. A compositional verification approac...
    I. Harris, D. Pradhan
    claim paper
    Read More »
    TIT
    2002
    164views more  TIT 2002»
    On the generalization of soft margin algorithms
    13 years 8 months ago
    On the generalization of soft margin algorithms
    Download  eprints.ucl.ac.uk
    Generalization bounds depending on the margin of a classifier are a relatively recent development. They provide an explanation of the performance of state-of-the-art learning syste...
    John Shawe-Taylor, Nello Cristianini
    claim paper
    Read More »
    ICMLA
    2009
    169views Machine Learning» more  ICMLA 2009»
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    13 years 6 months ago
    Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
    Download  www.ipb.uni-bonn.de
    Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
    Johannes Hartz
    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.