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EMNLP
2008
15 years 5 months ago
Phrase Translation Probabilities with ITG Priors and Smoothing as Learning Objective
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
Markos Mylonakis, Khalil Sima'an
BMCBI
2010
147views more  BMCBI 2010»
15 years 4 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 7 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
CORR
2010
Springer
142views Education» more  CORR 2010»
15 years 26 days ago
Constructions of Optical Queues With a Limited Number of Recirculations--Part I: Greedy Constructions
One of the main problems in all-optical packet-switched networks is the lack of optical buffers, and one feasible technology for the constructions of optical buffers is to use opt...
Jay Cheng, Cheng-Shang Chang, Sheng-Hua Yang, Tsz-...
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 10 months ago
Reducing the number of transistors in digital circuits using gate-level evolutionary design
This paper shows that the evolutionary design of digital circuits which is conducted at the gate level is able to produce human-competitive circuits at the transistor level. In ad...
Zbysek Gajda, Lukás Sekanina