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EMNLP
2008
15 years 2 months ago
A Generative Model for Parsing Natural Language to Meaning Representations
In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemo...
83
Voted
IJON
2008
100views more  IJON 2008»
15 years 25 days ago
EvOL-Neuron: Neuronal morphology generation
Virtual neurons are essential in computational neuroscience to study the relation between neuronal form and function. One way of obtaining virtual neurons is by algorithmic genera...
Ben Torben-Nielsen, Karl Tuyls, Eric O. Postma
85
Voted
IJON
2000
48views more  IJON 2000»
15 years 19 days ago
Rethinking central pattern generators: A general approach
Central pattern generators (CPGs) have traditionally been modeled as sets of coupled bistable oscillators [2]. We present a framework for constructing models which avoid the short...
Chris Eliasmith, Charles H. Anderson
92
Voted
PVLDB
2010
97views more  PVLDB 2010»
14 years 11 months ago
Generating Databases for Query Workloads
To evaluate the performance of database applications and DBMSs, we usually execute workloads of queries on generated databases of different sizes and measure the response time. Th...
Eric Lo, Nick Cheng, Wing-Kai Hon
SIGSOFT
2010
ACM
14 years 10 months ago
Directed test suite augmentation: techniques and tradeoffs
Test suite augmentation techniques are used in regression testing to identify code elements affected by changes and to generate test cases to cover those elements. Our preliminary...
Zhihong Xu, Yunho Kim, Moonzoo Kim, Gregg Rotherme...