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Dynamic Allocation and Pricing: A Mechanism Design Approach

Alex Gershkov and Benny Moldovanu

Published in print:
2015
Published Online:
May 2016
ISBN:
9780262028400
eISBN:
9780262327732
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262028400.001.0001
Subject:
Economics and Finance, Financial Economics

Dynamic allocation and pricing problems appear in numerous frameworks such as the retail of seasonal/style goods, the allocation of fixed capacities in the travel and leisure industries (e.g., ... More


Combinatorics of Genome Rearrangements

Guillaume Fertin, Anthony Labarre, Irena Rusu, Eric Tannier, and Stéphane Vialette

Published in print:
2009
Published Online:
August 2013
ISBN:
9780262062824
eISBN:
9780262258753
Item type:
book
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262062824.001.0001
Subject:
Mathematics, Mathematical Biology

From one cell to another, from one individual to another, and from one species to another, the content of DNA molecules is often similar. The organization of these molecules, however, differs ... More


Foundations of Search: A Perspective from Computer Science

James A. R. Marshall and Frank Neumann

in Cognitive Search: Evolution, Algorithms, and the Brain

Published in print:
2012
Published Online:
May 2016
ISBN:
9780262018098
eISBN:
9780262306003
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262018098.003.0016
Subject:
Sociology, Social Psychology and Interaction

Since Alan Turing, computer scientists have been interested in understanding natural intelligence by reproducing it in machine form. The field of artificial intelligence is characterized, to a large ... More


Modeling in Support of Spatial Planning and Policy Making: The Example of Flanders

Lien Poelmans

in Modeling Cities and Regions As Complex Systems: From Theory to Planning Applications

Published in print:
2015
Published Online:
May 2016
ISBN:
9780262029568
eISBN:
9780262331371
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262029568.003.0011
Subject:
Political Science, Environmental Politics

Flanders is a densely populated, highly urbanized region, with widespread urban sprawl threatening remaining agricultural and natural areas. Consequently spatial planning has recently become a ... More


Introduction

Thomas A. Weber

in Optimal Control Theory with Applications in Economics

Published in print:
2011
Published Online:
August 2013
ISBN:
9780262015738
eISBN:
9780262298483
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262015738.003.0001
Subject:
Mathematics, Probability / Statistics

This chapter first sets out the book’s purpose, which is to introduce continuous-time systems and methods for solving dynamic optimization problems at three different levels: single-person decision ... More


Specialist versus Generalist Decision Making

Armin W. Schulz

in Efficient Cognition: The Evolution of Representational Decision Making

Published in print:
2018
Published Online:
September 2018
ISBN:
9780262037600
eISBN:
9780262345262
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262037600.003.0008
Subject:
Psychology, Cognitive Psychology

A number of scholars argue that human and animal decision making, at least to the extent that it is driven by representational mental states, should be seen to be the result of the application of a ... More


Discriminative Learning under Covariate Shift with a Single Optimization Problem

Bickel Amir, Brückner Michael, and Scheffer Tobias

in Dataset Shift in Machine Learning

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262170055
eISBN:
9780262255103
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262170055.003.0009
Subject:
Computer Science, Machine Learning

This chapter derives a discriminative model for learning under differing training and test distributions, and is organized as follows. Section 9.2 formalizes the problem setting. Section 9.3 reviews ... More


Graph Kernels by Spectral Transforms

Zhu Xiaojin, Kandola Jaz, Lafferty John, and Ghahramani Zoubin

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0015
Subject:
Computer Science, Machine Learning

This chapter develops an approach to searching over a nonparametric family of spectral transforms by using convex optimization to maximize kernel alignment to the labeled data. Order constraints are ... More


Spectral Methods for Dimensionality Reduction

Saul Lawrence K., Weinberger Kilian Q., Sha Fei, Ham Jihun, and Lee Daniel D.

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0016
Subject:
Computer Science, Machine Learning

This chapter provides an overview of unsupervised learning algorithms that can be viewed as spectral methods for linear and nonlinear dimensionality reduction. Spectral methods have recently emerged ... More


Prediction of Protein Function from Networks

Shin Hyunjung and Tsuda Koji

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0020
Subject:
Computer Science, Machine Learning

This chapter describes an algorithm to assign weights to multiple graphs within graph-based semi-supervised learning. Both predicting class labels and searching for weights for combining multiple ... More


An Adversarial View of Covariate Shift and a Minimax Approach

Globerson Amir, Hui Teo Choon, Smola Alex, and Roweis Sam

in Dataset Shift in Machine Learning

Published in print:
2008
Published Online:
August 2013
ISBN:
9780262170055
eISBN:
9780262255103
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262170055.003.0010
Subject:
Computer Science, Machine Learning

This chapter considers an adversarial model where the learning algorithm attempts to construct a predictor that is robust to deletion of features at test time. The problem is formulated as finding ... More


Transductive Support Vector Machines

Joachims Thorsten

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0006
Subject:
Computer Science, Machine Learning

This chapter discusses the transductive learning setting proposed by Vapnik where predictions are made only at a fixed number of known test points. Transductive support vector machines (TSVMs) ... More


Semi-Supervised Learning Using Semi-Definite Programming

De Bie Tijl and Cristianini Nello

in Semi-Supervised Learning

Published in print:
2006
Published Online:
August 2013
ISBN:
9780262033589
eISBN:
9780262255899
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262033589.003.0007
Subject:
Computer Science, Machine Learning

This chapter discusses an alternative approach that is based on a convex relaxation of the optimization problem associated with support vector machine transduction. The result is a semi-definite ... More


Performance-Yield Trade-offs in Work in Manufactured and Living Systems: Design Centering Looks at the World of Work

Michael Lightner

in Work Meets Life: Exploring the Integrative Study of Work in Living Systems

Published in print:
2011
Published Online:
August 2013
ISBN:
9780262014120
eISBN:
9780262265843
Item type:
chapter
Publisher:
The MIT Press
DOI:
10.7551/mitpress/9780262014120.003.0003
Subject:
Biology, Evolutionary Biology / Genetics

This chapter addresses the trade-offs that occur in the design and manufacture of computer chips. It considers the implications of a design optimization method for chip manufacture called design ... More


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