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» Estimating Entropy and Entropy Norm on Data Streams
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RECOMB
2007
Springer
15 years 9 months ago
Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation
We present a technique for approximating the free energy of protein structures using Generalized Belief Propagation (GBP). The accuracy and utility of these estimates are then demo...
Hetunandan Kamisetty, Eric P. Xing, Christopher Ja...
ICML
2006
IEEE
15 years 10 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
SSWMC
2004
14 years 10 months ago
The Watermark Evaluation Testbed (WET)
While Digital Watermarking has received much attention in recent years, it is still a relatively young technology. There are few accepted tools/metrics that can be used to evaluat...
Hyung Cook Kim, Hakeem Ogunleye, Oriol Guitart, Ed...
74
Voted
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
15 years 6 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
93
Voted
MCS
2004
Springer
15 years 2 months ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel