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ACL
2006
15 years 4 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu
138
Voted
ICSE
2003
IEEE-ACM
16 years 3 months ago
Towards a Systems Engineering Pattern Language: Applying i* to Model Requirements-Architecture Patterns
This paper reports the results of exploratory research to develop a pilot pattern language for systems engineers at BAE SYSTEMS. The pattern language was designed to encapsulate k...
Pete Pavan, Neil A. M. Maiden, Xiaohong Zhu
156
Voted
ICMI
2005
Springer
158views Biometrics» more  ICMI 2005»
15 years 9 months ago
Recognition of sign language subwords based on boosted hidden Markov models
Sign language recognition (SLR) plays an important role in human-computer interaction (HCI), especially for the convenient communication between deaf and hearing society. How to e...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Yiqiang ...
120
Voted
DAS
2010
Springer
15 years 7 months ago
A post-processing scheme for malayalam using statistical sub-character language models
Most of the Indian scripts do not have any robust commercial OCRs. Many of the laboratory prototypes report reasonable results at recognition/classification stage. However, word ...
Karthika Mohan, C. V. Jawahar
146
Voted
CLIMA
2010
15 years 5 months ago
An Agent Language with Destructive Assignment and Model-Theoretic Semantics
In this paper we present an agent language that combines agent functionality with an action theory and model-theoretic semantics. The language is based on abductive logic programmi...
Robert A. Kowalski, Fariba Sadri