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Distinguished Professors at the University of Kansas: Recent submissions
Now showing items 861-880 of 918
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Probability Propagation
(Annals of Mathematics and Artificial Intelligence, 1990-03)In this paper we give a simple account of local computation of marginal probabilities for when the joint probability distribution is given in factored form and the sets of variables involved in the factors form a hypertree. ... -
Public policy-making and research information
(behavior analyst, 1986)Discusses the types of information that behavioral researchers might provide to public policymakers and how it might be delivered in order to shape public policy. The stages of policymaking, including agenda formation, ... -
On differentiation in applied behavior analysis
(Assn for Behavior Analysis, 1985)Four metaphorical types of activity in the field of applied behavior analysis are considered: prospecting, farming, building, and guiding. Advantages of each sphere are noted, and benefits of this division of labor to the ... -
Behavior analysis and public policy
(Assn for Behavior Analysis, 1988)Discusses the contexts and processes of policymaking, focusing on agenda formation and policy adoption, implementation, and review; and on the legislative and executive processes. Issues are outlined regarding the roles ... -
Hybrid Bayesian Networks with Linear Deterministic Variables
(Association for Uncertainty in Artificial Intelligence, 2005-07)When a hybrid Bayesian network has conditionally deterministic variables with continuous parents, the joint density function for the continuous variables does not exist. Conditional linear Gaussian distributions can handle ... -
No Double Counting Semantics for Conditional Independence
(Society for Imprecise Probability Theory and Applications (SIPTA, www.sipta.org), 2005-07)The main goal of this paper is to describe a new semantic for conditional independence in terms of no double counting of uncertain evidence. For ease of exposition, we use probability calculus to state all results. But the ... -
Nonlinear Deterministic Relationships in Bayesian Networks
(Springer-Verlag, 2005-07)In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function does not exist. Conditional linear Gaussian ... -
Inference in Hybrid Bayesian Networks with Mixtures of Truncated Exponentials
(University of Kansas School of Business, 2005-06)Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function (PDF) can be approximated with an MTE potential, which can ... -
A combined intramolecular Diels-Alder/intramolecular Schmidt reaction: Formal synthesis of (+/-)-stenine
(WILEY-V C H VERLAG GMBH, 2002) -
Taxonomy: impediment or expedient
(AMER ASSOC ADVANCEMENT SCIENCE, 2004-08-20) -
An energy relaxation tolerant approach to quantum entanglement, information transfer, and gates with superconducting-quantum-interference-device qubits in cavity QED
(IOP PUBLISHING LTD, 2004-03-31)A scheme is proposed for realizing quantum entanglement, information transfer, CNOT gates, and SWAP gates with supercoiiducting-quantum-interference-device (SQUID) qubits in cavity QED. In the scheme, the two logical states ... -
A Scheme for protecting one-qubit information against erasure error
(IOP PUBLISHING LTD, 2002-10)We propose a scheme for protecting one-qubit information against one erasure.. The scheme operates essentially by distributing quantum information over four qubits. Two versions of the method are considered: one of them ... -
Using Dempster-Shafer’s Belief-Function Theory in Expert Systems
(John Wiley & Sons, 1994-02)The main objective of this paper is to describe how Dempster-Shafer’s (DS) theory of belief functions fits in the framework of valuation-based systems (VBS). Since VBS serve as a framework for managing un-certainty in ... -
Conditional Independence in Valuation-Based Systems
(Elsevier Science Publishers B. V., 1994-04)This paper introduces the concept of conditional independence in valuation-based systems (VBS). VBS is an axiomatic framework capable of representing many different uncertainty calculi. We define conditional independence ... -
Using Possibility Theory in Expert Systems
(Elsevier Science Publishers B. V., 1992-12-10)This paper has two main objectives. The first objective is to give a characterization of a qualitative description of a possibility function. A qualitative description of a possibility function is called a consistent ... -
A Comparison of Graphical Techniques for Decision Analysis
(European Journal of Operational Research, 1994-10-13)Recently, we proposed a new method for representing and solving decision problems based on the framework of valuation-based systems. The new representation is called a valuation network, and the new solution method is ... -
Valuation-Based Systems for Bayesian Decision Analysis
(Operations Research Society of America, 1992-05)This paper proposes a new method for representing and solving Bayesian decision problems. The representation is called a valuation-based system and has some similari¬ties to influence diagrams. However, unlike influence ... -
Axioms for Dynamic Programming
(John Wiley & Sons Ltd, 1996)This paper describes an abstract framework, called valuation networks (VN), for representing and solving discrete optimization problems. In VNs, we represent information in an optimization problem using functions called ... -
Evaluating community coalitions for prevention of substance abuse: The case of project freedom
(Sage Publications, Inc., 1997)In the United States alone, there are more than 2,000 community coalitions to address local concerns about abuse of alcohol, tobacco, and other drugs. This article describes an evaluation system used to examine the process, ... -
A New Pruning Method for Solving Decision Trees and Game Trees
(Morgan Kaufmann Publishers, 1995-08)The main goal of this paper is to describe a newpruning method for solving decision trees and game trees. The pruning method for decision trees suggests a slight variant of decision trees that we call scenario trees. In ...
