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ICML
1996
IEEE
16 years 1 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
110
Voted
ENGL
2007
180views more  ENGL 2007»
15 years 16 days ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
83
Voted
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
15 years 6 months ago
A Two-Level CBIR Platform with Application to Brain MRI Retrieval
This paper presents a novel platform for image retrieval based on a two-level architecture inspired from human cognitive mechanisms. These two levels provide both generic similari...
John Moustakas, Kostas Marias, Socrates Dimitriadi...
92
Voted
AAAI
2008
15 years 2 months ago
Generating Application-Specific Benchmark Models for Complex Systems
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Jun Wang, Gregory M. Provan
98
Voted
BILDMED
2008
119views Algorithms» more  BILDMED 2008»
15 years 2 months ago
Intuitive Mapping of Perfusion Parameters to Glyph Shape
Abstract. Perfusion data characterize the regional blood flow in human tissue. For each voxel, a time-intensity curve (TIC) represents the enhancement of a contrast agent (CA). Par...
Steffen Oeltze, Arvid Malyszczyk, Bernhard Preim