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ESANN
2008
15 years 7 months ago
Improving a statistical language model by modulating the effects of context words
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
SERP
2003
15 years 7 months ago
Automating Feature-Oriented Domain Analysis
Feature modeling is commonly used to capture the commonalities and variabilities of systems in a domain during Domain Analysis. The output of feature modeling will be some reusabl...
Fei Cao, Barrett R. Bryant, Carol C. Burt, Zhishen...
DAC
2011
ACM
14 years 6 months ago
Modeling adaptive streaming applications with parameterized polyhedral process networks
The Kahn Process Network (KPN) model is a widely used modelof-computation to specify and map streaming applications onto multiprocessor systems-on-chips. In general, KPNs are difï...
Jiali Teddy Zhai, Hristo Nikolov, Todor Stefanov
BPM
2009
Springer
119views Business» more  BPM 2009»
16 years 29 days ago
A Formal Model for Process Context Learning
Process models are considered to be a major asset in modern business organizations. They are expected to apply to all the possible business contexts in which the process may be exe...
Johny Ghattas, Pnina Soffer, Mor Peleg
JUCS
2006
103views more  JUCS 2006»
15 years 6 months ago
An Object Model for Interoperable Systems
Abstract: Most modern computer applications should run on heterogeneous platforms and, moreover, objects and respective code should be easily interchangeable between distinct platf...
Alcides Calsavara, Aaron Borges, Leonardo Nunes, D...