Sciweavers

    21 search results - page 1 / 5
    » Active learning for ranking through expected loss optimizati...
    Sort
    View
    SIGIR
    2010
    ACM
    171views Information Technology» more  SIGIR 2010»
    Active learning for ranking through expected loss optimization
    13 years 8 months ago
    Active learning for ranking through expected loss optimization
    Download  olivier.chapelle.cc
    Bo Long, Olivier Chapelle, Ya Zhang, Yi Chang, Zha...
    claim paper
    Read More »
    ICML
    2008
    IEEE
    195views Machine Learning» more  ICML 2008»
    Optimizing estimated loss reduction for active sampling in rank learning
    14 years 5 months ago
    Optimizing estimated loss reduction for active sampling in rank learning
    Download  www.cs.cmu.edu
    Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
    Pinar Donmez, Jaime G. Carbonell
    claim paper
    Read More »
    ICDM
    2008
    IEEE
    172views Data Mining» more  ICDM 2008»
    Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
    13 years 11 months ago
    Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
    Download  www.ismll.uni-hildesheim.de
    Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
    Steffen Rendle, Lars Schmidt-Thieme
    claim paper
    Read More »
    ECIR
    2009
    Springer
    285views Information Technology» more  ECIR 2009»
    Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
    14 years 1 months ago
    Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
    Download  www.cs.cmu.edu
    Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
    Pinar Donmez, Jaime G. Carbonell
    claim paper
    Read More »
    KDD
    2008
    ACM
    147views Data Mining» more  KDD 2008»
    Structured learning for non-smooth ranking losses
    14 years 4 months ago
    Structured learning for non-smooth ranking losses
    Download  www.cse.iitb.ac.in
    Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
    Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
    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.