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ICCS
2007
Springer
14 years 14 days ago
Adaptive Sparse Grid Classification Using Grid Environments
Common techniques tackling the task of classification in data mining employ ansatz functions associated to training data points to fit the data as well as possible. Instead, the fe...
Dirk Pflüger, Ioan Lucian Muntean, Hans-Joach...
ECTEL
2006
Springer
14 years 8 days ago
Personalization Services in Argumentation Tools: a Catalyst for Learning
Argumentation is considered as an essential element for effective learning since it enables learners to develop their points of view and refine their knowledge. Our aim being to fa...
Christina E. Evangelou, Nikos Karousos, Manolis Tz...
IPAS
2010
13 years 6 months ago
An unsupervised learning approach for facial expression recognition using semi-definite programming and generalized principal co
In this paper, we consider facial expression recognition using an unsupervised learning framework. Specifically, given a data set composed of a number of facial images of the same...
Behnood Gholami, Wassim M. Haddad, Allen Tannenbau...
COMCOM
2004
145views more  COMCOM 2004»
13 years 8 months ago
Framework based on stochastic L-Systems for modeling IP traffic with multifractal behavior
In a previous work we have introduced a multifractal traffic model based on so-called stochastic L-Systems, which were introduced by biologist A. Lindenmayer as a method to model ...
Paulo Salvador, António Nogueira, Rui T. Va...
MIE
2008
131views Healthcare» more  MIE 2008»
13 years 10 months ago
Case-Based Reasoning to Explain Medical Model Exceptions
In medicine many exceptions occur. In medical practise and in knowledge-based systems too, it is necessary to consider them and to deal with them appropriately. In medical studies ...
Rainer Schmidt, Olga Vorobieva