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» Teaching Modeling: Why, When, What
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ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 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
ICPIA
1992
13 years 10 months ago
Intelligent Pattern Recognition and Applications
:: This talk deals with fundamental aspects of Intelligent Pattern Recognition (IPR) and applications. It basically includes the following: Overview of 3D Biometric Technology and ...
Patrick Shen-Pei Wang
WSC
2004
13 years 7 months ago
Using Simulated Data in Support of Research on Regression Analysis
Using simulated data to develop and study diagnostic tools for data analysis is very beneficial. The user can gain insight about what happens when assumptions are violated since t...
Christopher Michael Hill, Linda C. Malone
AIHC
2007
Springer
14 years 18 days ago
Gaze-X: Adaptive, Affective, Multimodal Interface for Single-User Office Scenarios
This paper describes an intelligent system that we developed to support affective multimodal human-computer interaction (AMM-HCI) where the user’s actions and emotions are modele...
Ludo Maat, Maja Pantic
CAS
2004
150views more  CAS 2004»
13 years 6 months ago
Accounting for Human Activity Through Physics
Accounting for human activity through physics does not require anything more than a switch of mind. Objectivity needs first to be recognized as an epistemological principle that s...
Paul Jorion