AIMC Topic: Algorithms

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A novel multivariate performance optimization method based on sparse coding and hyper-predictor learning.

Neural networks : the official journal of the International Neural Network Society Aug 4, 2015
In this paper, we investigate the problem of optimization of multivariate performance measures, and propose a novel algorithm for it. Different from traditional machine learning methods which optimize simple loss functions to learn prediction functio...
Reproducibility of Results Pattern Recognition, Automated Multivariate Analysis Machine Learning Algorithms Forecasting Neural Networks, Computer
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Fusing Swarm Intelligence and Self-Assembly for Optimizing Echo State Networks.

Computational intelligence and neuroscience Aug 4, 2015
Optimizing a neural network's topology is a difficult problem for at least two reasons: the topology space is discrete, and the quality of any given topology must be assessed by assigning many different sets of weights to its connections. These two c...
Computer Simulation Neural Networks, Computer Algorithms Models, Theoretical Pattern Recognition, Automated
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Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Aug 3, 2015
PURPOSE: Allogeneic hematopoietic stem-cell transplantation (HSCT) is potentially curative for acute leukemia (AL), but carries considerable risk. Machine learning algorithms, which are part of the data mining (DM) approach, may serve for transplanta...
Decision Support Techniques Retrospective Studies Female Humans Machine Learning Algorithms Predictive Value of Tests Risk Assessment Leukemia, Myeloid, Acute Area Under Curve Postoperative Complications Transplantation, Homologous Male Disease Progression Reproducibility of Results Registries Time Factors Precursor Cell Lymphoblastic Leukemia-Lymphoma Middle Aged Treatment Outcome Risk Factors ROC Curve Kaplan-Meier Estimate Adult Europe Logistic Models Decision Trees Disease-Free Survival Data Mining Hematopoietic Stem Cell Transplantation
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Prediction of core cancer genes using a hybrid of feature selection and machine learning methods.

Genetics and molecular research : GMR Aug 3, 2015
Machine learning techniques are of great importance in the analysis of microarray expression data, and provide a systematic and promising way to predict core cancer genes. In this study, a hybrid strategy was introduced based on machine learning tech...
Databases, Genetic Predictive Value of Tests Genetic Testing Microarray Analysis Statistics as Topic Algorithms Neoplasms Models, Genetic Humans Machine Learning
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A Comparative Study on Multifactor Dimensionality Reduction Methods for Detecting Gene-Gene Interactions with the Survival Phenotype.

BioMed research international Aug 3, 2015
Genome-wide association studies (GWAS) have extensively analyzed single SNP effects on a wide variety of common and complex diseases and found many genetic variants associated with diseases. However, there is still a large portion of the genetic vari...
Humans Algorithms Phenotype Polymorphism, Single Nucleotide Computer Simulation Multifactor Dimensionality Reduction Genotype Genome-Wide Association Study Epistasis, Genetic Genetic Predisposition to Disease
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An Effective and Novel Neural Network Ensemble for Shift Pattern Detection in Control Charts.

Computational intelligence and neuroscience Aug 3, 2015
Pattern recognition in control charts is critical to make a balance between discovering faults as early as possible and reducing the number of false alarms. This work is devoted to designing a multistage neural network ensemble that achieves this bal...
Humans Neural Networks, Computer Algorithms Pattern Recognition, Automated
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Predictive Modeling in Race Walking.

Computational intelligence and neuroscience Aug 3, 2015
This paper presents the use of linear and nonlinear multivariable models as tools to support training process of race walkers. These models are calculated using data collected from race walkers' training events and they are used to predict the result...
Nonlinear Dynamics Athletes Linear Models Neural Networks, Computer Humans Algorithms Walking
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Fuzzy wavelet plus a quantum neural network as a design base for power system stability enhancement.

Neural networks : the official journal of the International Neural Network Society Aug 1, 2015
In this study, we introduce an indirect adaptive fuzzy wavelet neural controller (IAFWNC) as a power system stabilizer to damp inter-area modes of oscillations in a multi-machine power system. Quantum computing is an efficient method for improving th...
Computer Simulation Neural Networks, Computer Industry Machine Learning Fuzzy Logic Wavelet Analysis Algorithms Power Plants Nonlinear Dynamics
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Normalizing clinical terms using learned edit distance patterns.

Journal of the American Medical Informatics Association : JAMIA Jul 31, 2015
BACKGROUND: Variations of clinical terms are very commonly encountered in clinical texts. Normalization methods that use similarity measures or hand-coded approximation rules for matching clinical terms to standard terminologies have limited accuracy...
Machine Learning Algorithms Natural Language Processing Terminology as Topic Unified Medical Language System Vocabulary, Controlled
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Stability and synchronization of memristor-based fractional-order delayed neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 31, 2015
Global asymptotic stability and synchronization of a class of fractional-order memristor-based delayed neural networks are investigated. For such problems in integer-order systems, Lyapunov-Krasovskii functional is usually constructed, whereas simila...
Equipment Design Nonlinear Dynamics Linear Models Neural Networks, Computer Algorithms Feedback
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