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    JMLR
    2006
    131views more  JMLR 2006»
    Incremental Support Vector Learning: Analysis, Implementation and Applications
    13 years 5 months ago
    Incremental Support Vector Learning: Analysis, Implementation and Applications
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    Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
    Pavel Laskov, Christian Gehl, Stefan Krüger, ...
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    JMLR
    2006
    107views more  JMLR 2006»
    Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
    13 years 5 months ago
    Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
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    The consistency of classification algorithm plays a central role in statistical learning theory. A consistent algorithm guarantees us that taking more samples essentially suffices...
    Di-Rong Chen, Tao Sun
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    JMLR
    2006
    125views more  JMLR 2006»
    A Linear Non-Gaussian Acyclic Model for Causal Discovery
    13 years 5 months ago
    A Linear Non-Gaussian Acyclic Model for Causal Discovery
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    In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
    Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...
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    JMLR
    2006
    135views more  JMLR 2006»
    Quantile Regression Forests
    13 years 5 months ago
    Quantile Regression Forests
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    Random forests were introduced as a machine learning tool in Breiman (2001) and have since proven to be very popular and powerful for high-dimensional regression and classificatio...
    Nicolai Meinshausen
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    JMLR
    2006
    125views more  JMLR 2006»
    Spam Filtering Using Statistical Data Compression Models
    13 years 5 months ago
    Spam Filtering Using Statistical Data Compression Models
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    Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
    Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
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    JMLR
    2006
    132views more  JMLR 2006»
    Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
    13 years 5 months ago
    Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
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    The eigenvalues of the kernel matrix play an important role in a number of kernel methods, in particular, in kernel principal component analysis. It is well known that the eigenva...
    Mikio L. Braun
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    JMLR
    2006
    106views more  JMLR 2006»
    Stability Properties of Empirical Risk Minimization over Donsker Classes
    13 years 5 months ago
    Stability Properties of Empirical Risk Minimization over Donsker Classes
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    We study some stability properties of algorithms which minimize (or almost-minimize) empirical error over Donsker classes of functions. We show that, as the number n of samples gr...
    Andrea Caponnetto, Alexander Rakhlin
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    JMLR
    2006
    107views more  JMLR 2006»
    Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
    13 years 5 months ago
    Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
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    In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...
    Magnus Ekdahl, Timo Koski
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    JMLR
    2006
    105views more  JMLR 2006»
    Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
    13 years 5 months ago
    Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
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    We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
    David Barber
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    JMLR
    2006
    100views more  JMLR 2006»
    Learning Recursive Control Programs from Problem Solving
    13 years 5 months ago
    Learning Recursive Control Programs from Problem Solving
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    In this paper, we propose a new representation for physical control
    Pat Langley, Dongkyu Choi
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