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ICALT
2007
IEEE
14 years 5 months ago
Embracing Cognitive Aspects in Web Personalization Environments -- The AdaptiveWeb Architecture
This paper1 presents a Web adaptation and personalization architecture that uses cognitive aspects as its core filtering element. The innovation of the proposed architecture focus...
Panagiotis Germanakos, Nikos Tsianos, Zacharias Le...
ICML
2008
IEEE
14 years 11 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
ML
2000
ACM
103views Machine Learning» more  ML 2000»
13 years 10 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
ECTEL
2009
Springer
14 years 5 months ago
LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring
Reusable adaptation specifications for adaptive behaviour has come to the forefront of adaptive research recently, with EU projects such as GRAPPLE1, and PhD research efforts on de...
Alexandra I. Cristea, David Smits, Jon Bevan, Maur...
INTERSPEECH
2010
13 years 5 months ago
Still talking to machines (cognitively speaking)
This overview article reviews the structure of a fully statistical spoken dialogue system (SDS), using as illustration, various systems and components built at Cambridge over the ...
Steve Young