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VLDB
1987
ACM
78views Database» more  VLDB 1987»
15 years 10 months ago
Measured Performance of Time Interval Concurrency Control Techniques
This paper reports on an implementation of Bayer's Time Interval concurrency control method and compares it to the performance of a conventional timestamp method. The impleme...
Jerre D. Noe, David B. Wagner
KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 8 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 7 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
BMCBI
2007
143views more  BMCBI 2007»
15 years 6 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
ALMOB
2006
155views more  ALMOB 2006»
15 years 6 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...