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JMLR
2006
131views more  JMLR 2006»
9 years 11 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
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, ...
JMLR
2006
107views more  JMLR 2006»
9 years 11 months ago
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss
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
JMLR
2006
125views more  JMLR 2006»
9 years 11 months ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
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...
JMLR
2006
135views more  JMLR 2006»
9 years 11 months ago
Quantile Regression Forests
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
JMLR
2006
125views more  JMLR 2006»
9 years 11 months ago
Spam Filtering Using Statistical Data Compression Models
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, ...
JMLR
2006
132views more  JMLR 2006»
9 years 11 months ago
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix
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
JMLR
2006
106views more  JMLR 2006»
9 years 11 months ago
Stability Properties of Empirical Risk Minimization over Donsker Classes
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
JMLR
2006
107views more  JMLR 2006»
9 years 11 months ago
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
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
JMLR
2006
105views more  JMLR 2006»
9 years 11 months ago
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
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
JMLR
2006
100views more  JMLR 2006»
9 years 11 months ago
Learning Recursive Control Programs from Problem Solving
In this paper, we propose a new representation for physical control
Pat Langley, Dongkyu Choi
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