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» Learning Generative Models via Discriminative Approaches
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109
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ICML
2001
IEEE
16 years 1 months ago
Learning to Generate Fast Signal Processing Implementations
A single signal processing algorithm can be represented by many mathematically equivalent formulas. However, when these formulas are implemented in code and run on real machines, ...
Bryan Singer, Manuela M. Veloso
118
Voted
ACL
2010
14 years 10 months ago
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Srinivasan Janarthanam, Oliver Lemon
82
Voted
IJCNLP
2005
Springer
15 years 6 months ago
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
102
Voted
GRAPHICSINTERFACE
2007
15 years 2 months ago
A GPU based interactive modeling approach to designing fine level features
In this paper we propose a GPU based interactive geometric modeling approach to designing fine level features on subdivision surfaces. Displacement mapping is a technique for addi...
Xin Huang, Sheng Li, Guoping Wang
101
Voted
ACRI
2008
Springer
15 years 7 months ago
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...