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EDBTW
2006
Springer
15 years 8 months ago
Context Consistency Management Using Ontology Based Model
Abstract. Inconsistent contexts are death-wounds which usually result in contextaware applications' incongruous behaviors and users' perplexed feelings, therefore the ben...
Yingyi Bu, Shaxun Chen, Jun Li, XianPing Tao, Jian...
NIPS
2008
15 years 5 months ago
Asynchronous Distributed Learning of Topic Models
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Arthur Asuncion, Padhraic Smyth, Max Welling
SENSYS
2010
ACM
15 years 2 months ago
Adaptive decentralized control of underwater sensor networks for modeling underwater phenomena
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradientbased dec...
Carrick Detweiler, Marek Doniec, Mingshun Jiang, M...
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 11 months ago
Is a probabilistic modeling
— A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, ...
Michel Fliess, Cédric Join, Fréd&eac...
EUROCAST
2005
Springer
86views Hardware» more  EUROCAST 2005»
15 years 10 months ago
Convergence of Iterations
Convergence is a central problem in both computer science and in population biology. Will a program terminate? Will a population go to an equilibrium? In general these questions ar...
Paul Cull