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ICPR
2006
IEEE
16 years 7 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
WWW
2007
ACM
16 years 7 months ago
Extending WebML towards semantic web
Available methodologies for developing Sematic Web applications do not fully exploit the whole potential deriving from interaction with ontological data sources. Here we introduce...
Federico Michele Facca, Marco Brambilla
WWW
2005
ACM
16 years 7 months ago
On optimal service selection
While many works have been devoted to service matchmaking and modeling nonfunctional properties, the problem of matching service requests to offers in an optimal way has not yet b...
Piero A. Bonatti, P. Festa
CHI
2009
ACM
16 years 7 months ago
Theory-driven design strategies for technologies that support behavior change in everyday life
In this paper, we propose design strategies for persuasive technologies that help people who want to change their everyday behaviors. Our strategies use theory and prior work to s...
Sunny Consolvo, David W. McDonald, James A. Landay
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
16 years 7 months ago
Probabilistic frequent itemset mining in uncertain databases
Probabilistic frequent itemset mining in uncertain transaction databases semantically and computationally differs from traditional techniques applied to standard "certain&quo...
Andreas Züfle, Florian Verhein, Hans-Peter Kr...