<--- Back to Details
First PageDocument Content
Experiment / Mathematical optimization / Vilfredo Pareto / Microeconomics / Multi-objective optimization / Multiple-criteria decision analysis / Probability space / Event / Markov decision process / Pareto efficiency / Mathematical analysis / Economics
Date: 2008-11-30 12:14:57
Experiment
Mathematical optimization
Vilfredo Pareto
Microeconomics
Multi-objective optimization
Multiple-criteria decision analysis
Probability space
Event
Markov decision process
Pareto efficiency
Mathematical analysis
Economics

Logical Methods in Computer Science Vol. 4 (4:, pp. 1–21 www.lmcs-online.org Submitted Published

Add to Reading List

Source URL: qav.comlab.ox.ac.uk

Download Document from Source Website

File Size: 304,50 KB

Share Document on Facebook

Similar Documents

A subfactor is an inclusion of infinite dimensional algebras of operators on a Hilbert space that can be thought of as noncommutative probability spaces. It captures symmetries of the mathematical or physical objects fro

A subfactor is an inclusion of infinite dimensional algebras of operators on a Hilbert space that can be thought of as noncommutative probability spaces. It captures symmetries of the mathematical or physical objects fro

DocID: 1umbP - View Document

Probability, Parallelism and the State Space Exploration Problem William Knottenbelt1 , Mark Mestern2 , Peter Harrison1, and Pieter Kritzinger2 1  Department of Computing, Imperial College, 180 Queens Gate, London SW7 2B

Probability, Parallelism and the State Space Exploration Problem William Knottenbelt1 , Mark Mestern2 , Peter Harrison1, and Pieter Kritzinger2 1 Department of Computing, Imperial College, 180 Queens Gate, London SW7 2B

DocID: 1sYTB - View Document

Injective Hilbert Space Embeddings of Probability Measures  Bharath K. Sriperumbudur1∗, Arthur Gretton2 , Kenji Fukumizu3 , Gert Lanckriet1 and Bernhard Sch¨olkopf2 1 Department of ECE, UC San Diego, La Jolla, CA 9209

Injective Hilbert Space Embeddings of Probability Measures Bharath K. Sriperumbudur1∗, Arthur Gretton2 , Kenji Fukumizu3 , Gert Lanckriet1 and Bernhard Sch¨olkopf2 1 Department of ECE, UC San Diego, La Jolla, CA 9209

DocID: 1saLW - View Document

Probabilistic Modeling and Model Checking Erika Ábrahám RWTH Aachen University, Germany SFM’14 Tutorial June 17, 2014

Probabilistic Modeling and Model Checking Erika Ábrahám RWTH Aachen University, Germany SFM’14 Tutorial June 17, 2014

DocID: 1rrqu - View Document

Chapter 6  Parameter Estimation Take a random variable x described by a pdf f (x): the sample space is defined to be the set of all possible values of x. The set of n independent measurements of the random variable x, {x

Chapter 6 Parameter Estimation Take a random variable x described by a pdf f (x): the sample space is defined to be the set of all possible values of x. The set of n independent measurements of the random variable x, {x

DocID: 1rnil - View Document