AIMC Topic:
Bayes Theorem

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A rational model of function learning.

Psychonomic bulletin & review Mar 3, 2015
Theories of how people learn relationships between continuous variables have tended to focus on two possibilities: one, that people are estimating explicit functions, or two that they are performing associative learning supported by similarity. We pr...
Problem Solving Normal Distribution Association Learning Transfer, Psychology Humans Machine Learning Bayes Theorem Linear Models Models, Psychological Concept Formation
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Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Journal of medical systems Feb 25, 2015
Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality from breast cancer. However, most of screening methods may consume large amount of resources. We pro...
Humans Female Aged Breast Neoplasms Middle Aged Risk Assessment Body Weights and Measures Contraceptives, Oral, Hormonal Estrogen Replacement Therapy Menstruation Predictive Value of Tests Genetic Predisposition to Disease Bayes Theorem Support Vector Machine Breast Feeding Age Factors Data Mining Early Detection of Cancer
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A fuzzy probabilistic method for medical diagnosis.

Journal of medical systems Feb 10, 2015
The max-min composition in fuzzy set theory has attained reasonable success in medical diagnosis in the past thirty years for estimating the probability of a patient diagnosed with a certain disease. However, there has been no theoretical justificati...
Probability Humans Diagnosis, Computer-Assisted Fuzzy Logic Bayes Theorem
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Automated classification of neurological disorders of gait using spatio-temporal gait parameters.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Feb 7, 2015
OBJECTIVE: Automated pattern recognition systems have been used for accurate identification of neurological conditions as well as the evaluation of the treatment outcomes. This study aims to determine the accuracy of diagnoses of (oto-)neurological g...
Pattern Recognition, Automated Nervous System Diseases Muscle, Skeletal Principal Component Analysis Bayes Theorem Gait Male Middle Aged Time Factors Support Vector Machine Humans Female Neural Networks, Computer Reproducibility of Results Artificial Intelligence Aged Algorithms Aged, 80 and over
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Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering.

Journal of computational neuroscience Feb 5, 2015
Spike sorting, i.e., the separation of the firing activity of different neurons from extracellular measurements, is a crucial but often error-prone step in the analysis of neuronal responses. Usually, three different problems have to be solved: the d...
Benchmarking Neurons Normal Distribution Models, Neurological Action Potentials Bayes Theorem Neural Networks, Computer Discriminant Analysis Algorithms Reproducibility of Results
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A framework for final drive simultaneous failure diagnosis based on fuzzy entropy and sparse bayesian extreme learning machine.

Computational intelligence and neuroscience Feb 5, 2015
This research proposes a novel framework of final drive simultaneous failure diagnosis containing feature extraction, training paired diagnostic models, generating decision threshold, and recognizing simultaneous failure modes. In feature extraction ...
Fuzzy Logic Humans Bayes Theorem Pattern Recognition, Automated Neural Networks, Computer Entropy Artificial Intelligence Support Vector Machine
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Expert system for predicting reaction conditions: the Michael reaction case.

Journal of chemical information and modeling Feb 3, 2015
A generic chemical transformation may often be achieved under various synthetic conditions. However, for any specific reagents, only one or a few among the reported synthetic protocols may be successful. For example, Michael β-addition reactions may ...
Expert Systems Quantitative Structure-Activity Relationship Informatics Indicators and Reagents Predictive Value of Tests Bayes Theorem Catalysis Models, Chemical Chemistry, Organic Machine Learning Algorithms Databases, Factual Reproducibility of Results Support Vector Machine
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A fast gene selection method for multi-cancer classification using multiple support vector data description.

Journal of biomedical informatics Dec 27, 2014
For cancer classification problems based on gene expression, the data usually has only a few dozen sizes but has thousands to tens of thousands of genes which could contain a large number of irrelevant genes. A robust feature selection algorithm is r...
Algorithms Neoplasms Gene Expression Profiling Diagnosis, Computer-Assisted Humans Artificial Intelligence Software Gene Expression Regulation, Leukemic Leukemia Gene Expression Gene Expression Regulation, Neoplastic Colonic Neoplasms Support Vector Machine Pattern Recognition, Automated Models, Statistical Oligonucleotide Array Sequence Analysis Bayes Theorem
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Bayesian models trained with HTS data for predicting β-haematin inhibition and in vitro antimalarial activity.

Bioorganic & medicinal chemistry Dec 20, 2014
A large quantity of high throughput screening (HTS) data for antimalarial activity has become available in recent years. This includes both phenotypic and target-based activity. Realising the maximum value of these data remains a challenge. In this r...
Humans Machine Learning Drug Discovery Plasmodium falciparum Parasitic Sensitivity Tests Small Molecule Libraries Databases, Pharmaceutical Hemeproteins Bayes Theorem Models, Biological Antimalarials Malaria, Falciparum
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Improving the Mann-Whitney statistical test for feature selection: an approach in breast cancer diagnosis on mammography.

Artificial intelligence in medicine Dec 12, 2014
OBJECTIVE: This work addresses the theoretical description and experimental evaluation of a new feature selection method (named uFilter). The uFilter improves the Mann-Whitney U-test for reducing dimensionality and ranking features in binary classifi...
Humans Discriminant Analysis Machine Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Female Chi-Square Distribution Models, Statistical Databases, Factual Reproducibility of Results Linear Models Mammography Breast Neoplasms Predictive Value of Tests Diagnosis, Computer-Assisted Bayes Theorem
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