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79
The Machine Learning and Traveling Repairman Problem
, 2011
"... The goal of the Machine Learning and Traveling Repairman Problem (ML&TRP) is to determine a route for a “repair crew,” which repairs nodes on a graph. The repair crew aims to minimize the cost of failures at the nodes, but the failure probabilities are not known and must be estimated. If there i ..."
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Cited by 1 (1 self)
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The goal of the Machine Learning and Traveling Repairman Problem (ML&TRP) is to determine a route for a “repair crew,” which repairs nodes on a graph. The repair crew aims to minimize the cost of failures at the nodes, but the failure probabilities are not known and must be estimated
Machine Learning and the Traveling Repairman
, 2000
"... The goal of the Machine Learning and Traveling Repairman Problem (ML&TRP) is to determine a route for a “repair crew,” which repairs nodes on a graph. The repair crew aims to minimize the cost of failures at the nodes, but as in many real situations, the failure probabilities are not known and m ..."
Abstract

Cited by 2 (0 self)
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The goal of the Machine Learning and Traveling Repairman Problem (ML&TRP) is to determine a route for a “repair crew,” which repairs nodes on a graph. The repair crew aims to minimize the cost of failures at the nodes, but as in many real situations, the failure probabilities are not known
Survey of clustering algorithms
 IEEE TRANSACTIONS ON NEURAL NETWORKS
, 2005
"... Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the ..."
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Cited by 499 (4 self)
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, the profusion of options causes confusion. We survey clustering algorithms for data sets appearing in statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts
A Racing Algorithm for Configuring Metaheuristics
, 2002
"... This paper describes a racing procedure for finding, in a limited amount of time, a configuration of a metaheuristic that performs as good as possible on a given instance class of a combinatorial optimization problem. Taking inspiration from methods proposed in the machine learning literature ..."
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Cited by 164 (34 self)
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This paper describes a racing procedure for finding, in a limited amount of time, a configuration of a metaheuristic that performs as good as possible on a given instance class of a combinatorial optimization problem. Taking inspiration from methods proposed in the machine learning literature
Machine Learning Approach to Report Prioritization with an Application to Travel Time Dissemination
"... This paper looks at the problem of data prioritization, commonly found in mobile adhoc networks. The proposed general solution uses a machine learning approach in order to learn the relevance value of reports, which represent sensed data. The general solution is then applied to a travel time dissem ..."
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Cited by 5 (5 self)
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This paper looks at the problem of data prioritization, commonly found in mobile adhoc networks. The proposed general solution uses a machine learning approach in order to learn the relevance value of reports, which represent sensed data. The general solution is then applied to a travel time
Memetic algorithm for the generalized asymmetric traveling salesman problem
 PROCEEDINGS OF THE 2007 WORKSHOP ON NATURE INSPIRED COOPERATIVE STRATEGIES FOR OPTIMISATION. LECTURE NOTES IN COMPUTER SCIENCE (LNCS
"... The generalized traveling salesman problem (GTSP) is an extension of the wellknown traveling salesman problem. In GTSP, we are given a partition of cities into groups and we are required to find a minimum length tour that includes exactly one city from each group. The aim of this paper is to pres ..."
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Cited by 8 (3 self)
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The generalized traveling salesman problem (GTSP) is an extension of the wellknown traveling salesman problem. In GTSP, we are given a partition of cities into groups and we are required to find a minimum length tour that includes exactly one city from each group. The aim of this paper
A Traveling Salesman Learns Bayesian Networks
"... Structure learning of Bayesian networks is an important problem that arises in numerous machine learning applications. In this work, we present a novel approach for learning the structure of Bayesian networks using the solution of an appropriately constructed traveling salesman problem. In our appro ..."
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Structure learning of Bayesian networks is an important problem that arises in numerous machine learning applications. In this work, we present a novel approach for learning the structure of Bayesian networks using the solution of an appropriately constructed traveling salesman problem. In our
SEARCH AND LEARNING FOR THE LINEAR ORDERING PROBLEM WITH AN APPLICATION TO MACHINE TRANSLATION
, 2009
"... This dissertation is about ordering. The problem of arranging a set of n items in a desired order is quite common, as well as fundamental to computer science. Sorting is one instance, as is the Traveling Salesman Problem. Each problem instance can be thought of as optimization of a function that app ..."
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This dissertation is about ordering. The problem of arranging a set of n items in a desired order is quite common, as well as fundamental to computer science. Sorting is one instance, as is the Traveling Salesman Problem. Each problem instance can be thought of as optimization of a function
Structured labeling for facilitating concept evolution in machine learning.
 Proceedings of the 32nd annual ACM conference on Human factors in computing systems  CHI
, 2014
"... ABSTRACT Labeling data is a seemingly simple task required for training many machine learning systems, but is actually fraught with problems. This paper introduces the notion of concept evolution, the changing nature of a person's underlying concept (the abstract notion of the target class a p ..."
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Cited by 6 (1 self)
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ABSTRACT Labeling data is a seemingly simple task required for training many machine learning systems, but is actually fraught with problems. This paper introduces the notion of concept evolution, the changing nature of a person's underlying concept (the abstract notion of the target class a
Towards Desktop Personal Travel Agents
, 1998
"... This paper discusses some of the challenges involved in providing computerbased integrated personalised travel services through a medium such as the Internet. Further, a software agent solution to this problem is presented, and an agentbased travel assistant demonstrator described, which was devel ..."
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Cited by 16 (0 self)
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This paper discusses some of the challenges involved in providing computerbased integrated personalised travel services through a medium such as the Internet. Further, a software agent solution to this problem is presented, and an agentbased travel assistant demonstrator described, which
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