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» Learning and Generalization with the Information Bottleneck
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WWW
2010
ACM
14 years 10 months ago
Efficient resource allocation and power saving in multi-tiered systems
In this paper, we present Fastrack, a parameter-free algorithm for dynamic resource provisioning that uses simple statistics to promptly distill information about changes in workl...
Andrew Caniff, Lei Lu, Ningfang Mi, Ludmila Cherka...
LOCA
2009
Springer
15 years 2 months ago
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
Maja Stikic, Bernt Schiele
ATAL
2003
Springer
15 years 2 months ago
Natural methods for robot task learning: instructive demonstrations, generalization and practice
Among humans, teaching various tasks is a complex process which relies on multiple means for interaction and learning, both on the part of the teacher and of the learner. Used tog...
Monica N. Nicolescu, Maja J. Mataric
ICDM
2008
IEEE
97views Data Mining» more  ICDM 2008»
15 years 4 months ago
Semi-supervised Learning from General Unlabeled Data
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...
Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. L...
COGSCI
2010
111views more  COGSCI 2010»
14 years 9 months ago
Mechanisms of Cognitive Development: Domain-General Learning or Domain-Specific Constraints?
many abstract categories (e.g., ``equivalence'') is innate. Although Plato argued with his contemporaries who advocated the empirical basis of knowledge, it was the Briti...
Vladimir Sloutsky