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» Three Features for Component Frameworks
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ANOR
2010
120views more  ANOR 2010»
15 years 3 months ago
Stochastic models for risk estimation in volatile markets: a survey
Abstract The problem of portfolio risk estimation in volatile markets requires employing fat-tailed models for financial instrument returns combined with copula functions to captur...
Stoyan V. Stoyanov, Borjana Racheva-Iotova, Svetlo...
129
Voted
ICMLA
2009
15 years 1 months ago
Ranking Electrical Feeders of the New York Power Grid
components of a system by susceptibility to failure. In this extended abstract, we present an ongoing project to rank the underground primary feeders of Consolidated Edison Company...
Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta...
JMLR
2011
142views more  JMLR 2011»
14 years 10 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...
163
Voted
TCSV
2008
177views more  TCSV 2008»
15 years 3 months ago
An ICA Mixture Hidden Markov Model for Video Content Analysis
In this paper, a new theoretical framework based on hidden Markov model (HMM) and independent component analysis (ICA) mixture model is presented for content analysis of video, nam...
Jian Zhou, Xiao-Ping Zhang
ACMSE
2007
ACM
15 years 7 months ago
Change propagations in the maintenance of kernel-based software with a study on Linux
As a software system evolves to accommodate new features and repair bugs, changes are needed. Software components are interdependent, changes made to one component can require cha...
Liguo Yu, Srini Ramaswamy