Journal of Pattern Recognition Research

Description: The Journal of Pattern Recognition Research (JPRR) provides an open access forum for the publication of research articles in areas of pattern recognition, machine learning, artificial intelligence, computational algorithms, and fuzzy learning

Keywords: Active learning; Additive regression; Autoregression; Autoregressive Hidden Markov Model; Back-propagation; Backfitting; Bagging; Basis function regression; Bayesian model selection biometrics; Boosting; Bootstrapping; Classification; Clustering; Constrained Hidden Markov Model; Constrained mixture model; Coupled Hidden Markov Model; Coupled mixture model; Cross-validation; Decision tree; Deterministic annealing; Discriminant Analysis; Empirical Risk Minimization; Expectation Propagation; Expectation-Maximization; Extended Kalman filtering; eye; face; Factor analysis; Factorial Hidden Markov Model; Feature extraction techniques; Feature selection; Features; Feed-forward neural network; density model; Feed-forward neural network regression; fingerprint; Finite mixture model; Gaussian process classifier; Gaussian process regression; General dynamical system; Generalized linear classifier; Generalized linear model; Hidden Markov; Decision Tree; Hidden Markov Model; random field; Segment Model; Independence Diagram; Independent Component Analysis; Feature; Naive Bayes; Iteratively Reweighted Least Squares; Jarvis Patrick clustering; Jensen bound integration; K-means; Kalman filtering; Kernel density estimation; Linear classifier; Linear Dynamical System; Linear regression; Locally weighted regression; Logistic regression; macroeconomics; Markov chain; Markov random field; Maximum A Posteriori likelihood; Message Length; Minimum Message Length; model selection; Mixture of Experts; Mixture of subspaces; Model selection; Model selection techniques; Monte Carlo; integration; Nearest-neighbor classification; density estimation; regression; Newton-Raphson; No free lunch; Nonparametric modeling; Nonparametric regression; density estimation; Other model selection criteria; Parameter Estimation; estimation techniques; Predictive estimation; Principal Component Analysis; Principal curve; Projection pursuit; regression; Radial Basis Function regression; Regression; Regularization; Reinforcement learning; Relaxation labeling; Robust regression; Simultaneous autoregression; Statistical Learning; Pattern Recognition; Statistical models; Stochastic context-free grammar; Stochastic program; Structural Risk Minimization; Support Vector Machine; Switching Hidden Markov Model; Unbiased estimation; Variational bound integration; Variational bound optimization

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Jprr.org

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JPRR.ORG - Site Location
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