Sciweavers

    3096 search results - page 505 / 620
    » The Generalized FITC Approximation
    Sort
    View
    IJCAI
    2007
    160views Artificial Intelligence» more  IJCAI 2007»
    Learning from Partial Observations
    13 years 11 months ago
    Learning from Partial Observations
    Download  www.ijcai.org
    We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
    Loizos Michael
    claim paper
    Read More »
    NIPS
    2008
    142views Information Technology» more  NIPS 2008»
    Mixed Membership Stochastic Blockmodels
    13 years 11 months ago
    Mixed Membership Stochastic Blockmodels
    Download  jmlr.csail.mit.edu
    Consider data consisting of pairwise measurements, such as presence or absence of links between pairs of objects. These data arise, for instance, in the analysis of protein intera...
    Edoardo Airoldi, David M. Blei, Stephen E. Fienber...
    claim paper
    Read More »
    SDM
    2008
    SIAM
    150views Data Mining» more  SDM 2008»
    A Stagewise Least Square Loss Function for Classification
    13 years 11 months ago
    A Stagewise Least Square Loss Function for Classification
    Download  nlpr-web.ia.ac.cn
    This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
    Shuang-Hong Yang, Bao-Gang Hu
    claim paper
    Read More »
    NIPS
    2007
    135views Information Technology» more  NIPS 2007»
    Discovering Weakly-Interacting Factors in a Complex Stochastic Process
    13 years 11 months ago
    Discovering Weakly-Interacting Factors in a Complex Stochastic Process
    Download  books.nips.cc
    Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
    Charlie Frogner, Avi Pfeffer
    claim paper
    Read More »
    NIPS
    2007
    190views Information Technology» more  NIPS 2007»
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
    13 years 11 months ago
    Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
    Download  books.nips.cc
    Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
    Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
    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.