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Stochastic Perturbation Theory

by G. W. Stewart , 1988
"... . In this paper classical matrix perturbation theory is approached from a probabilistic point of view. The perturbed quantity is approximated by a first-order perturbation expansion, in which the perturbation is assumed to be random. This permits the computation of statistics estimating the variatio ..."
Abstract - Cited by 886 (35 self) - Add to MetaCart
the variation in the perturbed quantity. Up to the higher-order terms that are ignored in the expansion, these statistics tend to be more realistic than perturbation bounds obtained in terms of norms. The technique is applied to a number of problems in matrix perturbation theory, including least squares

The Valuation of Options for Alternative Stochastic Processes

by John C. Cox, Stephen A. Ross - Journal of Financial Economics , 1976
"... This paper examines the structure of option valuation problems and develops a new technique for their solution. It also introduces several jump and diffusion processes which have nol been used in previous models. The technique is applied lo these processes to find explicit option valuation formulas, ..."
Abstract - Cited by 661 (4 self) - Add to MetaCart
This paper examines the structure of option valuation problems and develops a new technique for their solution. It also introduces several jump and diffusion processes which have nol been used in previous models. The technique is applied lo these processes to find explicit option valuation formulas

A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting

by Yoav Freund, Robert E. Schapire , 1996
"... ..."
Abstract - Cited by 3437 (65 self) - Add to MetaCart
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Contour Tracking By Stochastic Propagation of Conditional Density

by Michael Isard, Andrew Blake , 1996
"... . In Proc. European Conf. Computer Vision, 1996, pp. 343--356, Cambridge, UK The problem of tracking curves in dense visual clutter is a challenging one. Trackers based on Kalman filters are of limited use; because they are based on Gaussian densities which are unimodal, they cannot represent s ..."
Abstract - Cited by 658 (24 self) - Add to MetaCart
. In Proc. European Conf. Computer Vision, 1996, pp. 343--356, Cambridge, UK The problem of tracking curves in dense visual clutter is a challenging one. Trackers based on Kalman filters are of limited use; because they are based on Gaussian densities which are unimodal, they cannot represent

Equation-based congestion control for unicast applications

by Sally Floyd , Mark Handley , Jitendra Padhye , Jörg Widmer - SIGCOMM '00 , 2000
"... This paper proposes a mechanism for equation-based congestion control for unicast traffic. Most best-effort traffic in the current Internet is well-served by the dominant transport protocol, TCP. However, traffic such as best-effort unicast streaming multimedia could find use for a TCP-friendly cong ..."
Abstract - Cited by 832 (29 self) - Add to MetaCart
This paper proposes a mechanism for equation-based congestion control for unicast traffic. Most best-effort traffic in the current Internet is well-served by the dominant transport protocol, TCP. However, traffic such as best-effort unicast streaming multimedia could find use for a TCP

Separation of ownership and control

by Eugene F. Fama, Michael C. Jensen - JOURNAL OF LAW AND ECONOMICS , 1983
"... This paper analyzes the survival of organizations in which decision agents do not bear a major share of the wealth effects of their decisions. This is what the literature on large corporations calls separation of “ownership” and “control.” Such separation of decision and risk bearing functio ..."
Abstract - Cited by 1564 (7 self) - Add to MetaCart
This paper analyzes the survival of organizations in which decision agents do not bear a major share of the wealth effects of their decisions. This is what the literature on large corporations calls separation of “ownership” and “control.” Such separation of decision and risk bearing

Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory

by Richard M. Shiffrin, Walter Schneider - Psychological Review , 1977
"... The two-process theory of detection, search, and attention presented by Schneider and Shiffrin is tested and extended in a series of experiments. The studies demonstrate the qualitative difference between two modes of information processing: automatic detection and controlled search. They trace the ..."
Abstract - Cited by 805 (12 self) - Add to MetaCart
of categories is shown to improve controlled search performance. A general framework for human information processing is proposed; the framework emphasizes the roles of automatic and controlled processing. The theory is compared to and contrasted with extant models of search and attention.

Semantic Similarity in a Taxonomy: An Information-Based Measure and its Application to Problems of Ambiguity in Natural Language

by Philip Resnik , 1999
"... This article presents a measure of semantic similarityinanis-a taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The a ..."
Abstract - Cited by 601 (9 self) - Add to MetaCart
. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their e#ectiveness. 1. Introduction Evaluating semantic relatedness using network representations is a problem with a long history

Knowledge representations, reasoning and declarative problem solving . . .

by Chitta Baral , 2001
"... ..."
Abstract - Cited by 714 (43 self) - Add to MetaCart
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SOAR: An architecture for general intelligence

by John E. Laird, Allen Newell, Paul S. Rosenbloom - ARTIFICIAL INTELLIGENCE , 1987
"... ..."
Abstract - Cited by 1029 (66 self) - Add to MetaCart
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