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» Structured Learning of Component Dependencies in AmI Systems
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GLOBECOM
2010
IEEE
13 years 5 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...
CAV
1998
Springer
103views Hardware» more  CAV 1998»
13 years 12 months ago
You Assume, We Guarantee: Methodology and Case Studies
Assume-guarantee reasoning has long been advertised as an important method for decomposing proof obligations in system veri cation. Re nement mappings (homomorphisms) have long bee...
Thomas A. Henzinger, Shaz Qadeer, Sriram K. Rajama...
ICCV
1995
IEEE
13 years 11 months ago
Object Indexing Using an Iconic Sparse Distributed Memory
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
Rajesh P. N. Rao, Dana H. Ballard
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 8 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
ECOOP
2008
Springer
13 years 9 months ago
Programming with Live Distributed Objects
A component revolution is underway, bringing developers improved productivity and opportunities for code reuse. However, whereas existing tools work well for builders of desktop ap...
Krzysztof Ostrowski, Ken Birman, Danny Dolev, Jong...