Restaurant revenue management

D Bertsimas, R Shioda - Operations research, 2003 - pubsonline.informs.org
We develop two classes of optimization models to maximize revenue in a restaurant (while
controlling average waiting time as well as perceived fairness) that may violate the first-come-…

Classification and regression via integer optimization

D Bertsimas, R Shioda - Operations research, 2007 - pubsonline.informs.org
Motivated by the significant advances in integer optimization in the past decade, we introduce
mixed-integer optimization methods to the classical statistical problems of classification …

Maximum utility product pricing models and algorithms based on reservation price

R Shioda, L Tunçel, TGJ Myklebust - Computational Optimization and …, 2011 - Springer
We consider a revenue management model for pricing a product line with several customer
segments under the assumption that customers’ product choices are determined entirely by …

Algorithm for cardinality-constrained quadratic optimization

D Bertsimas, R Shioda - Computational Optimization and Applications, 2009 - Springer
This paper describes an algorithm for cardinality-constrained quadratic optimization problems,
which are convex quadratic programming problems with a limit on the number of non-…

[HTML][HTML] A factor analysis model for functional genomics

R Kustra, R Shioda, M Zhu - BMC bioinformatics, 2006 - Springer
Background Expression array data are used to predict biological functions of uncharacterized
genes by comparing their expression profiles to those of characterized genes. While …

Clustering via minimum volume ellipsoids

R Shioda, L Tunçel - Computational Optimization and Applications, 2007 - Springer
We propose minimum volume ellipsoids (MVE) clustering as an alternative clustering technique
to k-means for data clusters with ellipsoidal shapes and explore its value and practicality…

Automated hierarchy discovery for planning in partially observable environments

L Charlin, P Poupart, R Shioda - Advances in Neural …, 2006 - proceedings.neurips.cc
Planning in partially observable domains is a notoriously difficult problem. However, in many
real-world scenarios, planning can be simplified by decomposing the task into a hierarchy …

Performance metrics and data mining for assessing schedule qualities in paratransit

R Shioda, M Shea, L Fu - Transportation Research Record, 2008 - journals.sagepub.com
The simple productivity measures and hard constraints used in many paratransit vehicle
scheduling software programs do not fully capture the interest of all the stakeholders in a typical …

Integer optimization in data mining

R Shioda - 2003 - dspace.mit.edu
While continuous optimization methods have been widely used in statistics and data mining
over the last thirty years, integer optimization has had very limited impact in statistical …

[PDF][PDF] Restaurant revenue management

R Shioda - 2002 - oastats.mit.edu
We develop two classes of optimization models in order to maximize revenue in a restaurant,
while controlling average waiting time as well as perceived fairness, that may violate the …