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ECML
2006
Springer
9 years 4 months ago
Distributional Features for Text Categorization
Abstract-- Text categorization is the task of assigning predefined categories to natural language text. With the widely used `bag of words' representation, previous researches...
Xiao-Bing Xue, Zhi-Hua Zhou
ECML
2006
Springer
9 years 4 months ago
Efficient Large Scale Linear Programming Support Vector Machines
This paper presents a decomposition method for efficiently constructing 1-norm Support Vector Machines (SVMs). The decomposition algorithm introduced in this paper possesses many d...
Suvrit Sra
ECML
2006
Springer
9 years 4 months ago
B-Matching for Spectral Clustering
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
Tony Jebara, Vlad Shchogolev
ECML
2006
Springer
9 years 4 months ago
Reinforcement Learning for MDPs with Constraints
In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Peter Geibel
ECML
2006
Springer
9 years 4 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
ECML
2006
Springer
9 years 4 months ago
Pertinent Background Knowledge for Learning Protein Grammars
Christopher H. Bryant, Daniel Fredouille, Alex Wil...
ECML
2006
Springer
9 years 6 months ago
Batch Classification with Applications in Computer Aided Diagnosis
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
Volkan Vural, Glenn Fung, Balaji Krishnapuram, Jen...
ECML
2006
Springer
9 years 6 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
ECML
2006
Springer
9 years 6 months ago
Ensembles of Nearest Neighbor Forecasts
Nearest neighbor forecasting models are attractive with their simplicity and the ability to predict complex nonlinear behavior. They rely on the assumption that observations simila...
Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh
ECML
2006
Springer
9 years 6 months ago
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
Bojun Yan, Carlotta Domeniconi
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