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ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 4 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
IJDET
2010
123views more  IJDET 2010»
15 years 3 months ago
An Adaptive Course Generation Framework
: Existing adaptive e-learning methods are supported by student (user) profiling for capturing student characteristics, and course structuring for organizing learning materials acc...
Frederick W. B. Li, Rynson W. H. Lau, Parthiban Dh...
CORR
2011
Springer
192views Education» more  CORR 2011»
15 years 1 months ago
Distribution-Independent Evolvability of Linear Threshold Functions
Valiant’s (2007) model of evolvability models the evolutionary process of acquiring useful functionality as a restricted form of learning from random examples. Linear threshold ...
Vitaly Feldman
JMLR
2010
117views more  JMLR 2010»
15 years 1 months ago
Exploiting the High Predictive Power of Multi-class Subgroups
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...
Tarek Abudawood, Peter A. Flach
ICDE
2008
IEEE
190views Database» more  ICDE 2008»
16 years 7 months ago
Adaptive Segmentation for Scientific Databases
In this paper we explore database segmentation in the context of a column-store DBMS targeted at a scientific database. We present a novel hardware- and scheme-oblivious segmentati...
Milena Ivanova, Martin L. Kersten, Niels Nes