Sciweavers

618 search results - page 37 / 124
» What We Can Learn about Business Modeling from Homeostasis
Sort
View
WWW
2004
ACM
16 years 7 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
SIGMOD
2012
ACM
223views Database» more  SIGMOD 2012»
13 years 9 months ago
MaskIt: privately releasing user context streams for personalized mobile applications
The rise of smartphones equipped with various sensors has enabled personalization of various applications based on user contexts extracted from sensor readings. At the same time i...
Michaela Götz, Suman Nath, Johannes Gehrke
ECCV
2010
Springer
15 years 11 months ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
BMCBI
2007
133views more  BMCBI 2007»
15 years 6 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
STACS
1999
Springer
15 years 11 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann