Sciweavers

    730 search results - page 25 / 146
    » Learning for control from multiple demonstrations
    Sort
    View
    ICML
    1998
    IEEE
    153views Machine Learning» more  ICML 1998»
    RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
    15 years 10 months ago
    RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning
    Download  reference.kfupm.edu.sa
    This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
    Malcolm R. K. Ryan, Mark D. Pendrith
    claim paper
    Read More »
    IJCAI
    1997
    96views Artificial Intelligence» more  IJCAI 1997»
    Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems
    14 years 11 months ago
    Combining Knowledge Acquisition and Machine Learning to Control Dynamic Systems
    Download  ijcai.org
    This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is...
    G. M. Shiraz, Claude Sammut
    claim paper
    Read More »
    BMCBI
    2006
    169views more  BMCBI 2006»
    Machine learning techniques in disease forecasting: a case study on rice blast prediction
    14 years 9 months ago
    Machine learning techniques in disease forecasting: a case study on rice blast prediction
    Download  www.biomedcentral.com
    Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
    Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
    claim paper
    Read More »
    ML
    2008
    ACM
    150views Machine Learning» more  ML 2008»
    Learning probabilistic logic models from probabilistic examples
    14 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 »
    76
    Voted
    KDD
    2005
    ACM
    177views Data Mining» more  KDD 2005»
    Query chains: learning to rank from implicit feedback
    15 years 10 months ago
    Query chains: learning to rank from implicit feedback
    Download  www.cs.cornell.edu
    This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
    Filip Radlinski, Thorsten Joachims
    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, 2009-2025, USA.