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COLING
2008
15 years 8 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk
AAAI
2006
15 years 8 months ago
Unifying Logical and Statistical AI
Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
AAAI
2006
15 years 8 months ago
Optimizing Similarity Assessment in Case-Based Reasoning
The definition of accurate similarity measures is a key issue of every Case-Based Reasoning application. Although some approaches to optimize similarity measures automatically hav...
Armin Stahl, Thomas Gabel
ESANN
2006
15 years 8 months ago
Visual object classification by sparse convolutional neural networks
Abstract. A convolutional network architecture termed sparse convolutional neural network (SCNN) is proposed and tested on a real-world classification task (car classification). In...
Alexander Gepperth
FLAIRS
2006
15 years 8 months ago
Representation and Reasoning for Deeper Natural Language Understanding in a Physics Tutoring System
Students' natural language (NL) explanations in the domain of qualitative mechanics lie in-between unrestricted NL and the constrained NL of "proper" domain stateme...
Maxim Makatchev, Kurt VanLehn, Pamela W. Jordan, U...