Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Esther Levin"'
Autor:
Esther Perez, Donald G. Rosenberg, Mary Gunn, Mark Veenendaal, Esther Levin, Allen Brown, John Gardner, Ana Lausell, Yee S.C. Ong
Publikováno v:
Journal of Thrombosis and Thrombolysis. 13:147-153
Background: In myocardial infarction patients undergoing thrombolysis, treatment delays negatively impact outcomes. This pilot study was conducted to determine the feasibility and timing of field administration of intravenous double bolus reteplase i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::596867394001a92d250fe204c30aa839
https://doi.org/10.1023/a:1020474822885
https://doi.org/10.1023/a:1020474822885
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 8:11-23
We propose a quantitative model for dialog systems that can be used for learning the dialog strategy. We claim that the problem of dialog design can be formalized as an optimization problem with an objective function reflecting different dialog dimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::144a029e7909ef5c8fc920b37dfcbafd
https://doi.org/10.1109/89.817450
https://doi.org/10.1109/89.817450
Publikováno v:
Neural Computation. 6:851-876
A method for measuring the capacity of learning machines is described. The method is based on fitting a theoretically derived function to empirical measurements of the maximal difference between the error rates on two separate data sets of varying si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3e040470a7f5c598e5793751397fae8
https://doi.org/10.1162/neco.1994.6.5.851
https://doi.org/10.1162/neco.1994.6.5.851
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. :783-799
Recently, much interest has been generated regarding speech recognition systems based on Hidden Markov Models (HMMs) and neural network (NN) hybrids. Such systems attempt to combine the best features of both models: the temporal structure of HMMs and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c534c8ee342b8822e756db627f1501
https://doi.org/10.1142/s021800149300039x
https://doi.org/10.1142/s021800149300039x
Autor:
Roberto Pieraccini, Esther Levin
Publikováno v:
EUROSPEECH
We propose a model for a statistical representation of the conceptual structure of a restricted subset of spoken natural language. The model is used for segmenting a sentence into phrases and labeling them with concept relations (or cases). The model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c35e44d89b282fa05039d684cbe276ce
https://doi.org/10.1016/0167-6393(92)90022-y
https://doi.org/10.1016/0167-6393(92)90022-y
Publikováno v:
Neural Networks. 4:185-191
A computing architecture for adaptive control and system modeling based on computational features of nonlinear discrete neural networks is proposed. These features are massively parallel and distributed structures for signal processing, with the pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b045d285a9a87035a1a89852b960393
https://doi.org/10.1016/0893-6080(91)90003-n
https://doi.org/10.1016/0893-6080(91)90003-n
Autor:
Esther Levin
Publikováno v:
Neural Networks. 3:641-650
A recurrent, synchronous neural network is treated as a collection of independent perceptrons. The dynamics of the network can be described by a mapping: a finite set of transitions in the state space of the network. We define legal mapping as a mapp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3667fc8725bb44dc44ca01bf6cbd257
https://doi.org/10.1016/0893-6080(90)90054-o
https://doi.org/10.1016/0893-6080(90)90054-o
Publikováno v:
Proceedings of the IEEE. 78:1568-1574
A general statistical description of the problem of learning from examples is presented. Learning in layered networks is posed as a search in the network parameter space for a network that minimizes an additive error function of a statistically indep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc69fe491a4735db1cda45e743af1edf
https://doi.org/10.1109/5.58339
https://doi.org/10.1109/5.58339
Autor:
Amir Mane, Esther Levin
Publikováno v:
Human Factors and Voice Interactive Systems ISBN: 9780387254821
Directory Assistance is the first, and probably still the most common ‘information transaction‘ in which a caller is paying a fee in order to get a morsel of information. On the face of it, this is a rather simple exchange: the user provides the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d518c63dd956a6956ed24e1df677192
https://doi.org/10.1007/978-0-387-68439-0_4
https://doi.org/10.1007/978-0-387-68439-0_4
Autor:
Jonathan Bloom, Krishna Dayanidhi, Esther Levin, Phillip Hunter, Roberto Pieraccini, Peter Krogh, Kate Acomb
Publikováno v:
Proceedings of the Workshop on Bridging the Gap Academic and Industrial Research in Dialog Technologies - NAACL-HLT '07.
The goal of this paper is to give a description of the state of the art, the issues, the problems, and the solutions related to industrial dialog systems for the automation of technical support. After a general description of the evolution of the spo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::113a7137e9ebad6ec0e450eb417f326d
https://doi.org/10.3115/1556328.1556332
https://doi.org/10.3115/1556328.1556332