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ICES
2003
Springer
151views Hardware» more  ICES 2003»
15 years 10 months ago
Using Genetic Programming and High Level Synthesis to Design Optimized Datapath
This paper presents a methodology to design optimized electronic systems from high abstraction level descriptions. The methodology uses Genetic Programming in addition to high-leve...
Sérgio G. Araújo, Antônio C. M...
MOBIHOC
2009
ACM
16 years 6 months ago
Improved bounds on the throughput efficiency of greedy maximal scheduling in wireless networks
Due to its low complexity, Greedy Maximal Scheduling (GMS), also known as Longest Queue First (LQF), has been studied extensively for wireless networks. However, GMS can result in...
Mathieu Leconte, Jian Ni, Rayadurgam Srikant
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
16 years 2 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
CIKM
2009
Springer
16 years 3 hour ago
A machine learning approach for improved BM25 retrieval
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
Krysta Marie Svore, Christopher J. C. Burges
SMI
2007
IEEE
106views Image Analysis» more  SMI 2007»
15 years 11 months ago
Iterative Methods for Improving Mesh Parameterizations
We present two complementary methods for automatically improving mesh parameterizations and demonstrate that they provide a very desirable combination of efficiency and quality. ...
Shen Dong, Michael Garland