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» Study of Challenges and Techniques in Large Scale Matching
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KCAP
2003
ACM
15 years 5 months ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos
BMCBI
2008
136views more  BMCBI 2008»
15 years 20 days ago
GPAT: Retrieval of genomic annotation from large genomic position datasets
Background: Recent genome wide transcription factor binding site or chromatin modification mapping analysis techniques, such as chromatin immunoprecipitation (ChIP) linked to DNA ...
Arnaud Krebs, Mattia Frontini, Làszlò...
138
Voted
ICPADS
1994
IEEE
15 years 4 months ago
Stochastic Modeling of Scaled Parallel Programs
Testingthe performance scalabilityof parallelprograms can be a time consuming task, involving many performance runs for different computer configurations, processor numbers, and p...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...
117
Voted
AI
2008
Springer
15 years 20 days ago
A study of mechanisms for improving robotic group performance
Many collaborative multi-robot application domains have limited areas of operation that cause spatial conflicts between robotic teammates. These spatial conflicts can cause the te...
Avi Rosenfeld, Gal A. Kaminka, Sarit Kraus, Onn Sh...
VIS
2008
IEEE
134views Visualization» more  VIS 2008»
16 years 1 months ago
A Practical Approach to Morse-Smale Complex Computation: Scalability and Generality
The Morse-Smale (MS) complex has proven to be a useful tool in extracting and visualizing features from scalar-valued data. However, efficient computation of the MS complex for lar...
Attila Gyulassy, Peer-Timo Bremer, Bernd Hamann,...