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The Nature of Statistical Learning Theory
, 1999
"... Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based on the deve ..."
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Cited by 12976 (32 self)
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Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based
Maximum likelihood from incomplete data via the EM algorithm
 JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B
, 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
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Cited by 11807 (17 self)
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A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value
Missouri Estimation of Distribution Algorithms
"... This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of the Bayesian network. iBOA is shown to be able to learn and exploit unrestricted Bayesian networks using incremental techni ..."
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Cited by 2 (2 self)
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techniques for updating both the structure as well as the parameters of the probabilistic model. This represents an important step toward the design of competent incremental estimation of distribution algorithms that can solve difficult nearly decomposable problems scalably and reliably.
Estimation of Distribution Algorithm for
"... An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. An IDS does not eliminate the use of preventive mechanism but it works as the last defensive mechanism in securing the ..."
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the system. This paper evaluates the performances of Estimation of Distribution Algorithm (EDA) to train a feedforward neural network classifier for detecting intrusions in a network.
Parallel estimation of distribution algorithms
, 2002
"... The thesis deals with the new evolutionary paradigm based on the concept of Estimation of Distribution Algorithms (EDAs) that use probabilistic model of promising solutions found so far to obtain new candidate solutions of optimized problem. There are six primary goals of this thesis: 1. Suggestion ..."
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Cited by 25 (4 self)
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The thesis deals with the new evolutionary paradigm based on the concept of Estimation of Distribution Algorithms (EDAs) that use probabilistic model of promising solutions found so far to obtain new candidate solutions of optimized problem. There are six primary goals of this thesis: 1. Suggestion
Reinforcement Learning Estimation of Distribution Algorithm
 Proceedings of the Genetic and Evolutionary Computation Conference 2003 (GECCO2003), Lecture Notes in Computer Science (LNCS) 2724
, 2003
"... Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions to generate a new population of solutions. We call it Reinforcement Learning Estimation of Distribution Algorithm (RELED ..."
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Cited by 6 (4 self)
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Abstract. This paper proposes an algorithm for combinatorial optimizations that uses reinforcement learning and estimation of joint probability distribution of promising solutions to generate a new population of solutions. We call it Reinforcement Learning Estimation of Distribution Algorithm
Estimation of Distribution Algorithms
"... Evolutionary algorithms (EAs) are known in many areas as a powerful and robust optimization and searching tool. Classical EAs rely on the wellknown two phases: selection and variation. Variation is usually carried out by means of perturbation of promissing individuals (searching local neigbourhoods ..."
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Evolutionary algorithms (EAs) are known in many areas as a powerful and robust optimization and searching tool. Classical EAs rely on the wellknown two phases: selection and variation. Variation is usually carried out by means of perturbation of promissing individuals (searching local
The Limits of Estimation of Distribution Algorithms
"... Abstract. In this paper, we study the ability limit of EDAs to effectively solve problems in relation to the number of interactions among the variables. More in particular, we numerically analyze the learning limits that different EDA implementations encounter to solve problems on a sequence of addi ..."
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of additively decomposable functions (ADFs) in which new subfunctions are progressively added. The study is carried out in a worstcase scenario where the subfunctions are defined as deceptive functions. We argue that the limits for this type of algorithm are mainly imposed by the probabilistic model
An Estimation of Distribution Algorithm for Nurse Scheduling
 Annals of Operations Research, in print
, 2006
"... Abstract Schedules can be built in a similar way to a human scheduler by using a set of rules that involve domain knowledge. This paper presents an Estimation of Distribution Algorithm (EDA) for the nurse scheduling problem, which involves choosing a suitable scheduling rule from a set for the assig ..."
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Cited by 25 (8 self)
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Abstract Schedules can be built in a similar way to a human scheduler by using a set of rules that involve domain knowledge. This paper presents an Estimation of Distribution Algorithm (EDA) for the nurse scheduling problem, which involves choosing a suitable scheduling rule from a set
Results 1  10
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3,399,696