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» Learning and Generalization with the Information Bottleneck
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ICCAD
2009
IEEE
179views Hardware» more  ICCAD 2009»
15 years 4 months ago
Automatic memory partitioning and scheduling for throughput and power optimization
Hardware acceleration is crucial in modern embedded system design to meet the explosive demands on performance and cost. Selected computation kernels for acceleration are usually ...
Jason Cong, Wei Jiang, Bin Liu, Yi Zou
SIGUCCS
2003
ACM
15 years 12 months ago
Integrating WebCT with diverse campus systems
The University of Delaware has a powerful legacy SIS system. The University plans to replace this system in 2004-05. In the meantime, we have populated WebCT rosters using custom ...
Jeff Whisler
SIGIR
2010
ACM
15 years 10 months ago
Clicked phrase document expansion for sponsored search ad retrieval
We present a document expansion approach that uses Conditional Random Field (CRF) segmentation to automatically extract salient phrases from ad titles. We then supplement the ad d...
Dustin Hillard, Chris Leggetter
CIKM
2008
Springer
15 years 8 months ago
A latent variable model for query expansion using the hidden markov model
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
Qiang Huang, Dawei Song
DSS
2008
102views more  DSS 2008»
15 years 6 months ago
Diagnosing decision quality
Human decision making is error-prone and often subject to biases. Important information cues are misweighted and feedback delays hamper learning. Experimentally, task information ...
Michael J. Davern, Ravi Mantena, Edward A. Stohr