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» Learning to Control in Operational Space
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ACSAC
2007
IEEE
15 years 10 months ago
Retrofitting the IBM POWER Hypervisor to Support Mandatory Access Control
Server virtualization more readily enables the collocation of disparate workloads on a shared physical platform. When employed on systems across a data center, the result can be a...
Enriquillo Valdez, Reiner Sailer, Ronald Perez
RECSYS
2009
ACM
15 years 10 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani
CVPR
2009
IEEE
16 years 11 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
CORR
2011
Springer
199views Education» more  CORR 2011»
14 years 11 months ago
From Machine Learning to Machine Reasoning
A plausible definition of "reasoning" could be "algebraically manipulating previously acquired knowledge in order to answer a new question". This definition co...
Léon Bottou
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 4 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...