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ML
2010
ACM
127views Machine Learning» more  ML 2010»
14 years 8 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
JMLR
2010
118views more  JMLR 2010»
14 years 4 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot
PEPM
2011
ACM
14 years 27 days ago
Adaptation-based programming in java
Writing deterministic programs is often difficult for problems whose optimal solutions depend on unpredictable properties of the programs’ inputs. Difficulty is also encounter...
Tim Bauer, Martin Erwig, Alan Fern, Jervis Pinto
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
EDUTAINMENT
2007
Springer
15 years 4 months ago
Teaching Structured Development of Virtual Reality Systems Using P-VoT
Learning to build and test virtual reality (VR) systems is difficult due to the many required knowledge (e.g. computer graphics, sound processing, simulation, interaction, etc.) an...
Jinseok Seo, Gerard Jounghyun Kim