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» Measuring Complexity of Intelligent Machines
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ESANN
2006
14 years 11 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
WWW
2008
ACM
15 years 10 months ago
Size matters: word count as a measure of quality on wikipedia
Wikipedia, "the free encyclopedia", now contains over two million English articles, and is widely regarded as a highquality, authoritative encyclopedia. Some Wikipedia a...
Joshua E. Blumenstock
ACL
2011
14 years 1 months ago
A Large Scale Distributed Syntactic, Semantic and Lexical Language Model for Machine Translation
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Ming Tan, Wenli Zhou, Lei Zheng, Shaojun Wang
86
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LREC
2010
158views Education» more  LREC 2010»
14 years 11 months ago
Evaluating Human-Machine Conversation for Appropriateness
Evaluation of complex, collaborative dialogue systems is a difficult task. Traditionally, developers have relied upon subjective feedback from the user, and parametrisation over o...
Nick Webb, David Benyon, Preben Hansen, Oli Mival
JMLR
2002
90views more  JMLR 2002»
14 years 9 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...