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20142024
most citedA novel embedded min-max approach for feature selection in nonlinear support vector machine classification

85 citations · 116 across the 22 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

math.OC2020

An exact dynamic programming approach to segmented isotonic regression

Víctor Bucarey, Martine Labbé, Juan M. Morales +1

This paper proposes a polynomial-time algorithm to construct the monotone stepwise curve that minimizes the sum of squared errors with respect to a given cloud of data points. The…

math.OC2020

A bilevel framework for decision-making under uncertainty with contextual information

Miguel Angel Muñoz, Salvador Pineda, Juan Miguel Morales

In this paper, we propose a novel approach for data-driven decision-making under uncertainty in the presence of contextual information. Given a finite collection of observations of…

cs.LG2020★ 85 cited

A novel embedded min-max approach for feature selection in nonlinear support vector machine classification

Asunción Jiménez-Cordero, Juan Miguel Morales, Salvador Pineda

In recent years, feature selection has become a challenging problem in several machine learning fields, such as classification problems. Support Vector Machine (SVM) is a well-know…

eess.SY2020

Forecasting the Price-Response of a Pool of Buildings via Homothetic Inverse Optimization

Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda

This paper focuses on the day-ahead forecasting of the aggregate power of a pool of smart buildings equipped with thermostatically-controlled loads. We first propose the modeling o…

math.OC2020

An Efficient Robust Approach to the Day-ahead Operation of an Aggregator of Electric Vehicles

Álvaro Porras, Ricardo Fernández-Blanco, Juan M. Morales +1

The growing use of electric vehicles (EVs) may hinder their integration into the electricity system as well as their efficient operation due to the intrinsic stochasticity associat…