com-position largement hétérogène du domaine de l’apprentissage
artifi-ciel. Les techniques de modélisation et de visualisation utilisées
per-mettent de réaliser la cartographie de leurs citations. Dans un premier
temps, nous décrivons un résumé des techniques choisies pour
défi-nir les stratégies d’analyse et de cartographie adoptées (§3.2.2.1).
En-suite nous montrons comment, en analysant ce type de réseaux, nous
Corpus 1erAuteur Date Titre
Machine Learning
Pearson 1901 Principal Component Analysis
Mercer 1909 Functions of positive and negative type, and their connection with the theory of integral equations
Hotelling 1933 Analysis of a complex of statistical variables into principal components Fisher 1936 The use of multiple measurements in taxonomic problems
Friedman 1937 The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Decision Tree
Fisher 1936 The use of multiple measurements in taxonomic problems
Friedman 1937 The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Von Neumann 1944 The Theory of Games and Economic Behavior Wilcoxon 1945 Individual comparaisons by ranking methods Shanon 1948 A Mathematical Theory of Communication
Random Forest
Fisher 1936 The use of multiple measurements in taxonomic problems
Friedman 1937 The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Jenny 1941 Factors of soil formation : a system of quantitative pedology Dice 1945 Measures of the amount of ecologic association between species Shanon 1948 A Mathematical Theory of Communication
Bayesian Net
Bayes 1763 An essay towards solving a problem in the doctrine of chances Wright 1921 Correlation and causation
Shanon 1948 A Mathematical Theory of Communication Kullback 1951 On information and sufficiency
Metropolis 1953 Equation of state calculations by fast computing machines
Naive Bayes
Bayes 1763 An essay towards solving a problem in the doctrine of chances Fisher 1936 The use of multiple measurements in taxonomic problems
Friedman 1937 The use of ranks to avoid the assumption of normality implicit in the analysis of variance
Shanon 1948 A Mathematical Theory of Communication Kullback 1951 On information and sufficiency
Neural Network
Pearson 1901 Principal Component Analysis
Hotelling 1933 Analysis of a complex of statistical variables into principal components Fisher 1936 The use of multiple measurements in taxonomic problems
McCulloch 1943 A logical calculus of the ideas immanent in nervous activity Levenberg 1944 A method for the solution of certain non–linear problems in least
squares
Genetic Algorithm
Darwin 1859 On the origin of the species by natural selection Pareto 1896 Cours d’économie politique
Fisher 1936 The use of multiple measurements in taxonomic problems Ziegler 1942 Optimum settings for automatic controllers
McCulloch 1943 A logical calculus of the ideas immanent in nervous activity
SVM
Pearson 1901 Principal Component Analysis
Mercer 1909 Functions of positive and negative type, and their connection with the theory of integral equations
Hotelling 1933 Analysis of a complex of statistical variables into principal components Wilcoxon 1945 Individual comparisons by ranking methods
Shanon 1948 TA Mathematical Theory of Communication Tableau8– Les 5 plus anciennes références parmi les1000plus citées par
Corpus 1erAuteur Date Titre
Machine Learning
Bache 2013 UCI machine learning repository
R Team 2013 R : A language and environment for statistical computing
Huang 2012 Extreme learning machine for regression and multiclass classification
Gaulton 2012 ChEMBL : a large-scale bioactivity database for drug discovery
Orru 2012 Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease
Decision Tree
Han 2012 Data mining : concepts and techniques
Witten 2011 Data mining : pratical machine learning tools and techniques
Archarya 2011 Automatic detection of epileptic EEG signals using higher order cumulant fea-tures
R Team 2013 R : A language and environment for statistical computing
Bache 2013 UCI machine learning repository
Random Forest
R Team 2013 R : A language and environment for statistical computing
Wouter 2013 Data mining in the Life Sciences with Random Forest : a walk in the park
Rodriguez-Galiano 2012 An assessment of the effectiveness of a random forest classifier for land-cover classification
Li 2912 Prediction of protein domain with mRMR feature selection and analysis
Criminisi 2012 Decision forests : A unified framework for classification, regression, density es-timation, manifold learning and semi-supervised learning
Bayesian Net
Dias 2013 Evidence synthesis for decision making
Khakzad 2013 Dynamic safety analysis of process systems by mapping bow-tie into Bayesian network
Pitchforth 2013 A proposed validation framework for expert elicited Bayesian Networks
Khakzad 2013 Risk-based design of process systems using discrete-time Bayesian networks
Nagarajan 2013 Bayesian networks in R
Naive Bayes
Bache 2013 UCI machine learning repository
Koutsoukas 2013 In silico target predictions : defining a benchmarking data set and comparison of performance of the multiclass naïve bayes and parzen-rosenblatt window
Zaidi 2013 Alleviating naive Bayes attribute independence assumption by attribute weigh-ting
Han 2012 Data mining : concepts and techniques
Jiang 2012 Improving Tree augmented Naive Bayes for class probability estimation
Neural Network
Nazari 2011 Modeling ductile to brittle transition temperature of functionally graded steels by artificial neural networks
Gharagheizi 2011 Determination of Parachor of Various Compounds Using an Artificial Neural Network
Witten 2011 Data Mining : Practical Machine Learning Tools and Techniques
Sezer 2011 Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility map-ping : Klang valley, Malaysia
Yilmaz 2010 Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey
Genetic Algorithm
Das 2011 Differential evolution : a survey of the state-of-the-art
Zhou 2011 Multiobjective evolutionary algorithms : A survey of the state-of-the-art
Derrac 2011 A practical tutorial on the use of nonparametric statistical tests as a methodolo-gyfor comparing evolutionary and swarm intelligence algorithms
Karaboga 2011 A novel clustering approach : Artificial Bee Colony (ABC) algorithm
Bhattacharya 2010 Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch
SVM
Chen 2013 iRSpot-PseDNC : identify recombination spots with pseudo dinucleotide com-position
Bache 2013 UCI machine learning repository
Xu 2013 Analysis of a complex of statistical variables into principal components
Huang 2012 iSNO-PseAAC : Predict Cysteine S-Nitrosylation Sites in Proteins by Incor-porating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition
Chou 2012 iLoc-Hum : using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites
Tableau9– Les5références les plus récentes parmi les1000plus citées par corpus.