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ECML
2007
Springer
16 years 20 days ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
16 years 20 days ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
ICGI
2004
Springer
15 years 12 months ago
Navigation Pattern Discovery Using Grammatical Inference
We present a method for modeling user navigation on a web site using grammatical inference of stochastic regular grammars. With this method we achieve better models than the previo...
Nikolaos Karampatziakis, Georgios Paliouras, Dimit...
KR
2004
Springer
15 years 12 months ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler
AI
2006
Springer
15 years 10 months ago
Adaptive Fraud Detection Using Benford's Law
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...
Fletcher Lu, J. Efrim Boritz, H. Dominic Covvey