Search
Now showing items 1-7 of 7
A CART-based genetic algorithm for constructing higher accuracy decision trees
(SciTePress, 2020)
Decision trees are among the most popular classification methods due to ease of implementation and simple interpretation. In traditional methods like CART (classification and regression tree), ID4, C4.5; trees are constructed ...
A robust estimation model for surgery durations with temporal, operational, and surgery team effects
(Springer Science+Business Media, 2015-09)
For effective operating room (OR) planning, surgery duration estimation is critical. Overestimation leads to underutilization of expensive hospital resources (e.g., OR time) whereas underestimation leads to overtime and ...
Next-day operating room scheduling with uncertain surgery durations: Exact analysis and heuristics
(Elsevier, 2020-10-01)
Operating rooms are units of particular interest in hospitals as they constitute more than 40% of total expenses and revenues. Managing operating rooms is challenging due to conflicting priorities and preferences of various ...
An extension to the classical mean–variance portfolio optimization model
(Taylor & Francis, 2019-07)
The purpose of this study is to find a portfolio that maximizes the risk-adjusted returns subject to constraints frequently faced during portfolio management by extending the classical Markowitz mean-variance portfolio ...
Delegation vs. control of component procurement under asymmetric cost information and simple contracts
(Informs, 2013)
A manufacturer must choose whether to delegate component procurement to her tier 1 supplier or control it directly. Because of information asymmetry about suppliers’ production costs and the use of simple quantity discount ...
A gradient descent based heuristic for solving regression clustering problems
(SciTePress, 2020)
Regression analysis is the method of quantifying the effects of a set of independent variables on a dependent variable. In regression clustering problems, the data points with similar regression estimates are grouped into ...
Effective training methods for automatic musical genre classification
(SciTePress, 2019)
Musical genres are labels created by human and based on mutual characteristics of songs, which are also called musical features. These features are key indicators for the content of the music. Rather than predictions by ...
Share this page