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    JMLR
    2008
    129views more  JMLR 2008»
    Finite-Time Bounds for Fitted Value Iteration
    13 years 11 months ago
    Finite-Time Bounds for Fitted Value Iteration
    Download  www.sztaki.hu
    In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
    Rémi Munos, Csaba Szepesvári
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    JMLR
    2008
    110views more  JMLR 2008»
    A Bahadur Representation of the Linear Support Vector Machine
    13 years 11 months ago
    A Bahadur Representation of the Linear Support Vector Machine
    Download  jmlr.csail.mit.edu
    The support vector machine has been successful in a variety of applications. Also on the theoretical front, statistical properties of the support vector machine have been studied ...
    Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Par...
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    JMLR
    2008
    114views more  JMLR 2008»
    Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
    13 years 11 months ago
    Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
    Download  www.csie.ntu.edu.tw
    Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
    Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
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    JMLR
    2008
    209views more  JMLR 2008»
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    13 years 11 months ago
    Bayesian Inference and Optimal Design for the Sparse Linear Model
    Download  www.kyb.tuebingen.mpg.de
    The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
    Matthias W. Seeger
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    JMLR
    2008
    135views more  JMLR 2008»
    Complete Identification Methods for the Causal Hierarchy
    13 years 11 months ago
    Complete Identification Methods for the Causal Hierarchy
    Download  ftp.cs.ucla.edu
    We consider a hierarchy of queries about causal relationships in graphical models, where each level in the hierarchy requires more detailed information than the one below. The hie...
    Ilya Shpitser, Judea Pearl
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    JMLR
    2008
    168views more  JMLR 2008»
    Max-margin Classification of Data with Absent Features
    13 years 11 months ago
    Max-margin Classification of Data with Absent Features
    Download  ai.stanford.edu
    We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
    Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
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    JMLR
    2008
    81views more  JMLR 2008»
    Bouligand Derivatives and Robustness of Support Vector Machines for Regression
    13 years 11 months ago
    Bouligand Derivatives and Robustness of Support Vector Machines for Regression
    Download  homepages.vub.ac.be
    Andreas Christmann, Arnout Van Messem
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    JMLR
    2008
    159views more  JMLR 2008»
    Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
    13 years 11 months ago
    Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
    Download  jmlr.csail.mit.edu
    Existing template-independent web data extraction approaches adopt highly ineffective decoupled strategies--attempting to do data record detection and attribute labeling in two se...
    Jun Zhu, Zaiqing Nie, Bo Zhang, Ji-Rong Wen
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    JMLR
    2008
    76views more  JMLR 2008»
    A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
    13 years 11 months ago
    A Multiple Instance Learning Strategy for Combating Good Word Attacks on Spam Filters
    Download  jmlr.csail.mit.edu
    Zach Jorgensen, Yan Zhou, W. Meador Inge
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    JMLR
    2008
    124views more  JMLR 2008»
    Learning Control Knowledge for Forward Search Planning
    13 years 11 months ago
    Learning Control Knowledge for Forward Search Planning
    Download  web.engr.oregonstate.edu
    A number of today's state-of-the-art planners are based on forward state-space search. The impressive performance can be attributed to progress in computing domain independen...
    Sung Wook Yoon, Alan Fern, Robert Givan
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