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JMLR
2010
152views more  JMLR 2010»
14 years 4 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
OTM
2005
Springer
15 years 3 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
14 years 11 months ago
Adapted Pittsburgh classifier system: building accurate strategies in non markovian environments
This paper focuses on the study of the behavior of a genetic algorithm based classifier system, the Adapted Pittsburgh Classifier System (A.P.C.S), on maze type environments con...
Gilles Énée, Mathias Péroumal...
SIGDIAL
2010
14 years 7 months ago
Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
Srinivasan Janarthanam, Oliver Lemon
ICPR
2008
IEEE
15 years 11 months ago
Randomized trees for real-time one-step face detection and recognition
We present a system for detecting and recognizing faces in images in real-time which is able to learn new identities in instants. In mobile service robotics, interaction with pers...
Stefan Schiffer 0002, Thomas Deselaers, Vaishak Be...