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» Inferring Knowledge from a Large Semantic Network
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NIPS
2000
13 years 7 months ago
A Neural Probabilistic Language Model
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
Yoshua Bengio, Réjean Ducharme, Pascal Vinc...
GIS
2008
ACM
14 years 6 months ago
Mining user similarity based on location history
The pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) enable people to conveniently log the location histories they visited with spatio-temporal data. T...
Quannan Li, Yu Zheng, Xing Xie, Yukun Chen, Wenyu ...
HPDC
2007
IEEE
14 years 3 days ago
Failure-aware checkpointing in fine-grained cycle sharing systems
Fine-Grained Cycle Sharing (FGCS) systems aim at utilizing the large amount of idle computational resources available on the Internet. Such systems allow guest jobs to run on a ho...
Xiaojuan Ren, Rudolf Eigenmann, Saurabh Bagchi
ATAL
2006
Springer
13 years 9 months ago
Magenta technology multi-agent logistics i-Scheduler for road transportation
The paper describes main features of an Intelligent Scheduler for Road Transportation Applications based on Magenta agent technology and characterized by a number of unique, advan...
Jonathan Himoff, George Rzevski, Petr Skobelev
BMCBI
2010
153views more  BMCBI 2010»
13 years 5 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...