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COGSCI
2010
160views more  COGSCI 2010»
13 years 8 months ago
Comprehension of Simple Quantifiers: Empirical Evaluation of a Computational Model
We examine the verification of simple quantifiers in natural language from a computational model perspective. We refer to previous neuropsychological investigations of the same pr...
Jakub Szymanik, Marcin Zajenkowski
AIED
2005
Springer
14 years 1 months ago
The Use of Qualitative Reasoning Models of Interactions between Populations to Support Causal Reasoning of Deaf Students
Making inferences is crucial for understanding the world. The school may develop such skills but there are few formal opportunities for that. This paper describes an experiment de...
Paulo Salles, Heloisa Lima-Salles, Bert Bredeweg
JMLR
2010
128views more  JMLR 2010»
13 years 6 months ago
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
Maximum entropy (Maxent) is useful in natural language processing and many other areas. Iterative scaling (IS) methods are one of the most popular approaches to solve Maxent. With...
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih...
TCAD
2002
145views more  TCAD 2002»
13 years 7 months ago
Automatic generation of synthetic sequential benchmark circuits
The design of programmable logic architectures and supporting computer-aided design tools fundamentally requires both a good understanding of the combinatorial nature of netlist gr...
Michael D. Hutton, Jonathan Rose, Derek G. Corneil
EMNLP
2010
13 years 6 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda