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PERVASIVE
2011
Springer
12 years 11 months ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
14 years 9 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
PERCOM
2005
ACM
14 years 8 months ago
Experiences with MundoCore
Pervasive Computing environments require new communication and programming paradigms. In this paper we present our experiences from the implementation of MundoCore, a pervasive co...
Erwin Aitenbichler, Jussi Kangasharju, Max Mü...
PERCOM
2004
ACM
14 years 8 months ago
Comprehensive Structured Context Profiles (CSCP): Design and Experiences
In dynamic heterogeneous environments, such as Pervasive Computing, context-aware adaptation is a key concept to meet the varying requirements of different clients. To enable such...
Sven Buchholz, Thomas Hamann, Gerald Hübsch
SEMCO
2009
IEEE
14 years 3 months ago
Ontology Extraction from Existing Educational Content to Improve Personalized e-Learning Experiences
Nowadays, the use of domain ontologies in e-Learning applications is rapidly increasing due to the important role they play in knowledge representation, sharing of didactical mate...
Nicola Capuano, Luca Dell'Angelo, Francesco Orciuo...