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[PDF] Top 20 A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks

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A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks

A Probability-based Evolutionary Algorithm with Mutations to Learn Bayesian Networks

... order to reveal the effectiveness of PBIL-based algorithms, we first evaluate the PBIL-based algorithm with probability mutation in comparison with K2 with its ... See full document

7

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

Strength Pareto Evolutionary Algorithm based Multi-Objective Optimization for Shortest Path Routing Problem in Computer Networks

... conducted with random and varying topologies of 50-200 nodes through computer ...is to investigate the quality of solution and convergence speed for different network topologies and number of ...generated ... See full document

10

GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm.

GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm.

... sparsity with E = 20, S = 12, the a priori expected model size (expected number of true associations) and standard deviation of the model size, and F = 7, meaning the prior model size is likely to range ... See full document

17

 AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS

AN EVOLUTIONARY ALGORITHM FOR CHANNEL ASSIGNMENT PROBLEM IN WIRELESS MOBILE NETWORKS

... proposed algorithm is compared with FCA scheme and DCA scheme of deterministic method which always produces the same channel allocation solutions at each ...scheme with deterministic method without ... See full document

6

Research article Evaluation of two methods for computational HLA haplotypes inference using a real dataset

Research article Evaluation of two methods for computational HLA haplotypes inference using a real dataset

... required to establish phases. For other population-based studies there are several molecu- lar methods available that allow a correct construction of the haplotypes ... See full document

11

Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training

Combination of Neural Networks and Fuzzy Clustering Algorithm to Evalution Training Simulation-Based Training

... is to find patterns and make predictions of the behavior and development of trained people, content knowledge application environment, assessments, training and application functions to ...define. ... See full document

8

eve cccavalcante a constrained

eve cccavalcante a constrained

... In a previous work [7] we have proposed an algorithm for source separation based on probability density function (pdf) estimation, called fitting pdf (FP) algorithm, that uses the e[r] ... See full document

5

Feasibility of nuclear ribosomal region ITS1 over ITS2 in barcoding taxonomically challenging genera of subtribe Cassiinae (Fabaceae)

Feasibility of nuclear ribosomal region ITS1 over ITS2 in barcoding taxonomically challenging genera of subtribe Cassiinae (Fabaceae)

... acids. Based on literature and commercial kits available, we attempted modification of several previously reported methods to isolate high quality ...protocol with necessary major modifications ... See full document

21

Writing to Learn

Writing to Learn

... place to start is by collating ideas, bringing them together in the manuscript, and position- ing them in the relevant sections that were developed ...way to move forward with this process is ... See full document

3

Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction.

Feature selection for speech emotion recognition in Spanish and Basque: on the use of machine learning to improve human-computer interaction.

... attempt to select the most significant features for emotion recognition in spoken Basque and Spanish Languages using different methods for feature ...order to seek for the most relevant feature ...selected ... See full document

23

A Collaborative Group Developing Method of Open Source Software by Mimicking Altruism Behavior of Army Ant

A Collaborative Group Developing Method of Open Source Software by Mimicking Altruism Behavior of Army Ant

... project with Network growing model: When the agent selects a project, some strategies to a network growing model are ...model with dynamic fitness[8] is adapted to decide the behaviors of ... See full document

6

Automated System for interpreting Non-verbal Communication in Video Conferencing

Automated System for interpreting Non-verbal Communication in Video Conferencing

... used to model the temporal behaviors of facial expressions from image ...also to automatically segment a long video sequence to the different expressions segments without resorting to ... See full document

6

Civil identification with DNA profiles databases using Bayesian networks

Civil identification with DNA profiles databases using Bayesian networks

... intended to discuss how to properly use the databases in the recognition of bodies problem that compiles information about missing individuals which are known to belong to one or more families ... See full document

6

An Efficient Method for Assessing Water Quality Based on Bayesian Belief Networks

An Efficient Method for Assessing Water Quality Based on Bayesian Belief Networks

... a Bayesian reasoning approach is employed ...analysis to produce posterior knowledge of full information about possible system states ...concepts. Bayesian methods of statistical inference offer the ... See full document

12

FctClus: A Fast Clustering Algorithm for Heterogeneous Information Networks.

FctClus: A Fast Clustering Algorithm for Heterogeneous Information Networks.

... important to cluster heterogeneous information ...clustering algorithm based on an approximate commute time embedding for heterogeneous information networks with a star network schema ... See full document

15

Civil identification problems with Bayesian networks using official DNA databases

Civil identification problems with Bayesian networks using official DNA databases

... proposed with the probabilities computed through the Bayesian network, built specifically for a civil identification problem in which there is a partial match between an individual whose body was found, a ... See full document

8

A Commentary on de Sousa′s towards an Integrative Theory of Consciousness

A Commentary on de Sousa′s towards an Integrative Theory of Consciousness

... turns to what he calls “computational neuroscience”, but his usage of this expression is not standard (the one that refers to ordinary computational mechanisms of the brain, such as sparse population coding ... See full document

20

Order Reduction of Linear Interval Systems Using Genetic Algorithm

Order Reduction of Linear Interval Systems Using Genetic Algorithm

... AN algorithm for order reduction of linear interval systems based on minimization of the ISE by genetic algorithm ...(GA). Algorithm guaranteed the stability of reduced order system provided ... See full document

4

Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

Photoacoustic-based thermal image formation and optimization using an evolutionary genetic algorithm

... Figure 5b shows that, for all mathematical methods, the accuracy of temperature measurements decreased with temperature. Few factors can explain this behavior. First, at higher temperatures the increase in speed ... See full document

10

A Pruning Algorithm for Efficient Image Segmentation with Neighborhood Neural Networks

A Pruning Algorithm for Efficient Image Segmentation with Neighborhood Neural Networks

... methods based on weight and unit acti- vation values [12], magnitude-based pruning (MBP) [13] which assumes that small weights are ...attempts based on approximations to the Fisher information ... See full document

10

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