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PKDD
2009
Springer
114views Data Mining» more  PKDD 2009»
14 years 6 months ago
A Matrix Factorization Approach for Integrating Multiple Data Views
Derek Greene, Padraig Cunningham
PKDD
2009
Springer
137views Data Mining» more  PKDD 2009»
14 years 6 months ago
On Subgroup Discovery in Numerical Domains
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
Henrik Grosskreutz, Stefan Rüping
PKDD
2009
Springer
104views Data Mining» more  PKDD 2009»
14 years 6 months ago
Leveraging Higher Order Dependencies between Features for Text Classification
Murat Can Ganiz, Nikita I. Lytkin, William M. Pott...
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 6 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
14 years 6 months ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
14 years 6 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 6 months ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 6 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
14 years 6 months ago
A Generalization of Forward-Backward Algorithm
Structured prediction has become very important in recent years. A simple but notable class of structured prediction is one for sequences, so-called sequential labeling. For sequen...
Ai Azuma, Yuji Matsumoto
PKDD
2009
Springer
135views Data Mining» more  PKDD 2009»
14 years 6 months ago
Syntactic Structural Kernels for Natural Language Interfaces to Databases
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...
Alessandra Giordani, Alessandro Moschitti