Zobrazeno 1 - 10
of 35
pro vyhledávání: '"M. Thint"'
Publikováno v:
BT Technology Journal. 24:96-106
Customer self-help is a major driver for business today because it provides 24/7 services at a fraction of the cost of call centre agents. However, despite the proliferation of self-help sites, most customer self-help sites have attracted few custome
Publikováno v:
BT Technology Journal. 21:39-43
This paper summarises the evolution of BT's Personal Agent Framework (PAF) and its information management services into a Knowledge Browser™ component of a commercial eCommunity platform. Following upgrades to its software architecture, system tria
Publikováno v:
BT Technology Journal. 21:91-97
Even in Web communities where the primary aim is to share information and networks with members of similar interests, personalised information management services are highly desirable. Applications that tailor services to the individual improve perso
Publikováno v:
BT Technology Journal. 21:72-75
Nearly all adept business and personal decisions have become dependent on timely and accurate information about relevant topics. Much of this information is now available in electronic media, often produced in a quantity and at a speed that require u
Publikováno v:
Computer. 34:64-69
Intelligent software agents offer an ideal technology platform for providing data sharing, personalized services and pooled knowledge, while maintaining user privacy and promoting interaction in e-communities.
Autor:
M. Thint, A. Celikyilmaz
Publikováno v:
IEEE ICCI
In this work we present semantic based methodologies to improve the accuracy of question answering (QA) systems. In particular, we concentrate on the textual entailment module, which is implemented as one of the major modules of our QA system and is
Publikováno v:
Location and Personalisation: Delivering Online and Mobility Services ISBN: 9780863413384
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e26028c8aa161474ab39a0a990b8f130
https://doi.org/10.1049/pbbt008e_ch12
https://doi.org/10.1049/pbbt008e_ch12
Publikováno v:
TAI
The authors have designed an artificial neural system (ANS) consisting of coupled back-error propagation (BEP) networks that perform feature extraction, clustering. and categorization of tactile surface impressions. The network and its characteristic
Autor:
M. Thint, F. A M Van Balen, Tuomas Heikkinen, Anne Pitkäranta, T. Chonmaitree, R. A M J Damoiseaux, T. J M Verheij, F. G. Hayden
Publikováno v:
The New England journal of medicine. 340(25)
Publikováno v:
IJCNN
Interim results of a study on pattern recognition of robotic tactile impressions using connectionist models are described. The training data consists of gray-scale force gradient profiles that accurately reflect the tactile domain; the focus is on ex