Sciweavers

    COLING
    2002
    132views Computational Linguistics» more  COLING 2002»
    Efficient Support Vector Classifiers for Named Entity Recognition
    13 years 11 months ago
    Efficient Support Vector Classifiers for Named Entity Recognition
    Download  acl.ldc.upenn.edu
    Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organizatio...
    Hideki Isozaki, Hideto Kazawa
    claim paper
    Read More »
    COLING
    2002
    137views Computational Linguistics» more  COLING 2002»
    Extracting Important Sentences with Support Vector Machines
    13 years 11 months ago
    Extracting Important Sentences with Support Vector Machines
    Download  acl.ldc.upenn.edu
    Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
    Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...
    claim paper
    Read More »
    BMCBI
    2004
    114views more  BMCBI 2004»
    Profiled support vector machines for antisense oligonucleotide efficacy prediction
    13 years 11 months ago
    Profiled support vector machines for antisense oligonucleotide efficacy prediction
    Download  www.biomedcentral.com
    Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
    Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
    claim paper
    Read More »
    TKDE
    2008
    123views more  TKDE 2008»
    Explaining Classifications For Individual Instances
    13 years 11 months ago
    Explaining Classifications For Individual Instances
    Download  lkm.fri.uni-lj.si
    We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
    Marko Robnik-Sikonja, Igor Kononenko
    claim paper
    Read More »
    INFORMATICALT
    2007
    111views more  INFORMATICALT 2007»
    Oblique Support Vector Machines
    13 years 11 months ago
    Oblique Support Vector Machines
    Download  www.mii.lt
    In this paper we propose a modified framework of support vector machines, called Oblique Support Vector Machines(OSVMs), to improve the capability of classification. The principl...
    Chih-Chia Yao, Pao-Ta Yu
    claim paper
    Read More »
    PRL
    2006
    114views more  PRL 2006»
    Incremental training of support vector machines using hyperspheres
    13 years 11 months ago
    Incremental training of support vector machines using hyperspheres
    Download  www.lib.kobe-u.ac.jp
    In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
    Shinya Katagiri, Shigeo Abe
    claim paper
    Read More »
    PRL
    2006
    106views more  PRL 2006»
    Invariances in kernel methods: From samples to objects
    13 years 11 months ago
    Invariances in kernel methods: From samples to objects
    Download  bengio.abracadoudou.com
    This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
    Alexei Pozdnoukhov, Samy Bengio
    claim paper
    Read More »
    PAMI
    2008
    302views more  PAMI 2008»
    Learning to Detect Moving Shadows in Dynamic Environments
    13 years 11 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 »
    NECO
    2008
    108views more  NECO 2008»
    An SMO Algorithm for the Potential Support Vector Machine
    13 years 11 months ago
    An SMO Algorithm for the Potential Support Vector Machine
    Download  ni.cs.tu-berlin.de
    We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
    Tilman Knebel, Sepp Hochreiter, Klaus Obermayer
    claim paper
    Read More »
    NECO
    2008
    112views more  NECO 2008»
    Second-Order SMO Improves SVM Online and Active Learning
    13 years 11 months ago
    Second-Order SMO Improves SVM Online and Active Learning
    Download  www.idsia.ch
    Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
    Tobias Glasmachers, Christian Igel
    claim paper
    Read More »
    « first‹ previous123456789…next ›last »
    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.