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Eugene Charniak

Eugene Charniak is a Computer Science and Cognitive Science professor at Brown University. He has an A.B. in Physics from The University of Chicago… Expand
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AI@50Common LispDrew McDermottHistory of the Scheme programming language
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
A systems and control perspective of CPS security
Abstract The comprehensive integration of instrumentation, communication, and control into physical systems has led to the study… Expand
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2012
2012
Shock fronts, electron-ion equilibration and ICM transport processes in the merging cluster Abell 2146
We present a new 400 ks Chandra X-ray observation of the merging galaxy cluster Abell 2146. This deep observation reveals… Expand
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Highly Cited
2011
Highly Cited
2011
Forecasting of global and direct solar irradiance using stochastic learning methods, ground experiments and the NWS database
We develop and validate a medium-term solar irradiance forecasting model by adopting predicted meteorological variables from the… Expand
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Highly Cited
2005
Highly Cited
2005
Improving Statistical MT through Morphological Analysis
In statistical machine translation, estimating word-to-word alignment probabilities for the translation model can be difficult… Expand
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Highly Cited
2005
Highly Cited
2005
Better k-best Parsing
We discuss the relevance of k-best parsing to recent applications in natural language processing, and develop efficient… Expand
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2002
2002
Radio and X-ray detectability of buoyant radio plasma bubbles in clusters of galaxies
The Chandra X-ray Observatory is finding a surprisingly large number of cavities in the X-ray emitting intracluster medium (ICM… Expand
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Highly Cited
1999
Highly Cited
1999
Cost Models DO Matter: Providing Cost Information for Diverse Data Sources in a Federated System
An important issue for federated systems of diverse data sources is how to optimize cross-source queries, without building… Expand
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Highly Cited
1995
Highly Cited
1995
Intelligent backtracking on constraint satisfaction problems: experimental and theoretical results
The Constraint Satisfaction Problem is a type of combinatorial search problem of much interest in Artificial Intelligence and… Expand
Highly Cited
1993
Highly Cited
1993
Statistical language learning
From the Publisher: Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language… Expand
1980
1980
An efficient environment allocation scheme in an interpreter for a lexically-scoped LISP
Lexically-scoped LISP dialects offer great flexibility and expressive power. Unfortunately, they tend to be inefficiently… Expand
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