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» Embedding Heterogeneous Data Using Statistical Models
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123
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ECAI
1998
Springer
15 years 7 months ago
The Neural Path to Dialogue Acts
This paper presents a neural network approach to the problem of nding the dialogue act for a given utterance. So far only symbolic, decision tree and statistical approaches were ut...
M. Kipp
ACL
1997
15 years 4 months ago
A Model of Lexical Attraction and Repulsion
This paper introduces new methods based on exponential families for modeling the correlations between words in text and speech. While previous work assumed the effects of word co-...
Doug Beeferman, Adam L. Berger, John D. Lafferty
143
Voted
WWW
2006
ACM
16 years 4 months ago
Knowledge modeling and its application in life sciences: a tale of two ontologies
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...
159
Voted
ICCV
2003
IEEE
16 years 5 months ago
Controlling Model Complexity in Flow Estimation
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
156
Voted
ATS
2010
IEEE
229views Hardware» more  ATS 2010»
15 years 1 months ago
Variation-Aware Fault Modeling
Abstract--To achieve a high product quality for nano-scale systems both realistic defect mechanisms and process variations must be taken into account. While existing approaches for...
Fabian Hopsch, Bernd Becker, Sybille Hellebrand, I...