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152
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CSB
2005
IEEE
210views Bioinformatics» more  CSB 2005»
15 years 9 months ago
Problem Solving Environment Approach to Integrating Diverse Biological Data Sources
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
Eric G. Stephan, Kyle R. Klicker, Mudita Singhal, ...
115
Voted
BMCBI
2005
122views more  BMCBI 2005»
15 years 3 months ago
FACT - a framework for the functional interpretation of high-throughput experiments
Background: Interpreting the results of high-throughput experiments, such as those obtained from DNA-microarrays, is an often time-consuming task due to the high number of data-po...
Felix Kokocinski, Nicolas Delhomme, Gunnar Wrobel,...
128
Voted
EURODAC
1995
IEEE
138views VHDL» more  EURODAC 1995»
15 years 7 months ago
Reduced design time by load distribution with CAD framework methodology information
This paper is focused on reducing the design time in a CAD framework environment by the optimal use of resources. A user-transparent load distribution system (Framework based LOad...
Jürgen Schubert, Arno Kunzmann, Wolfgang Rose...
141
Voted
SIGMOD
2004
ACM
110views Database» more  SIGMOD 2004»
15 years 9 months ago
Liquid Data for WebLogic: Integrating Enterprise Data and Services
Information in today’s enterprises commonly resides in a variety of heterogeneous data sources, including relational databases, web services, files, packaged applications, and c...
Vinayak R. Borkar
141
Voted
CDC
2009
IEEE
159views Control Systems» more  CDC 2009»
15 years 8 months ago
A distributed machine learning framework
Abstract— A distributed online learning framework for support vector machines (SVMs) is presented and analyzed. First, the generic binary classification problem is decomposed in...
Tansu Alpcan, Christian Bauckhage