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SIGIR
2006
ACM
16 years 8 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
CODES
2009
IEEE
15 years 10 months ago
Minimization of the reconfiguration latency for the mapping of applications on FPGA-based systems
Field-Programmable Gate Arrays (FPGAs) have become promising mapping fabric for the implementation of System-on-Chip (SoC) platforms, due to their large capacity and their enhance...
Vincenzo Rana, Srinivasan Murali, David Atienza, M...
173
Voted
ATAL
2008
Springer
15 years 8 months ago
Using organization knowledge to improve routing performance in wireless multi-agent networks
Multi-agent systems benefit greatly from an organization design that guides agents in determining when to communicate, how often, with whom, with what priority, and so on. However...
Huzaifa Zafar, Victor R. Lesser, Daniel D. Corkill...
IPCO
2004
110views Optimization» more  IPCO 2004»
15 years 7 months ago
Scheduling an Industrial Production Facility
Managing an industrial production facility requires carefully allocating limited resources, and gives rise to large, potentially complicated scheduling problems. In this paper we c...
Eyjolfur Asgeirsson, Jonathan W. Berry, Cynthia A....
157
Voted
PSB
2004
15 years 7 months ago
Multiplexing Schemes for Generic SNP Genotyping Assays
Association studies in populations relate genomic variation among individuals with medical condition. Key to these studies is the development of efficient and affordable genotypin...
Roded Sharan, Amir Ben-Dor, Zohar Yakhini