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CORR
2006
Springer
96views Education» more  CORR 2006»
14 years 9 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk
EAAI
2006
98views more  EAAI 2006»
14 years 9 months ago
Neural network-based failure rate prediction for De Havilland Dash-8 tires
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
Ahmed Z. Al-Garni, Ahmad Jamal, Abid M. Ahmad, Abd...
CGF
2007
127views more  CGF 2007»
14 years 9 months ago
Crowds by Example
We present an example-based crowd simulation technique. Most crowd simulation techniques assume that the behavior exhibited by each person in the crowd can be defined by a restri...
Alon Lerner, Yiorgos Chrysanthou, Dani Lischinski
ISCI
2008
166views more  ISCI 2008»
14 years 9 months ago
A discretization algorithm based on Class-Attribute Contingency Coefficient
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
IJET
2006
112views more  IJET 2006»
14 years 9 months ago
Personalized E-Learning in the Semantic Web
: The challenge of the semantic web is the provision of distributed information with well defined meaning, understandable for different parties. Particularly, applications should b...
Nicola Henze