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RECOMB
2009
Springer
16 years 2 months ago
Evaluating Between-Pathway Models with Expression Data
Abstract. Between-Pathway Models (BPMs) are network motifs consisting of pairs of putative redundant pathways. In this paper, we show how adding another source of high-throughput d...
Benjamin J. Hescott, Mark D. M. Leiserson, Lenore ...
MUE
2008
IEEE
129views Multimedia» more  MUE 2008»
15 years 8 months ago
G3M: A Generalized Multimedia Data Model Based on MPEG-7
In this paper, a generalized multimedia database data model based on MPEG-7 named G3M is proposed and formally defined. Different from those XML Database Management System (DBMS) ...
Qiong Zuo, Zhongsheng Cao
FUZZIEEE
2007
IEEE
15 years 8 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
ACSC
2005
IEEE
15 years 7 months ago
Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data
Novel, high-throughput technologies are challenging the core of algorithmic methods available in Computer Science. Microarray technologies give Life Sciences researchers the oppor...
Regina Berretta, Alexandre Mendes, Pablo Moscato
ICCS
2003
Springer
15 years 7 months ago
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Robert A. Granat