| 词条 | Book:Applied Math |
| 释义 |
|title= |subtitle= |cover-image= |cover-color= | setting-papersize = A4 | setting-showtoc = 1 | setting-columns = 1 }} MathAgent-based model Analysis of variance Analytic hierarchy process Analytic network process Ant colony optimization algorithms Artificial intelligence Artificial neural network Association rule learning Backtracking Backward induction Bayes estimator Bayesian network Bees algorithm Bellman equation Bellman–Ford algorithm Best linear unbiased prediction Bilevel optimization BIRCH Bootstrap aggregating Bootstrapping Boyer–Moore string search algorithm Canadian traveller problem Canonical correlation Cellular automaton Characteristic function Cholesky decomposition Cluster analysis Clustering high-dimensional data Confidence interval Confrontation analysis Consensus clustering Constrained optimization Convex optimization Conway's Game of Life Cooperative game Correlation clustering Correspondence analysis Cramér–Rao bound Critical path method Critical point Cutting stock problem Decision tree Decision tree learning Default logic Derivative Design of experiments Determinant Dijkstra's algorithm Discrete choice Duality Dynamic programming Eigendecomposition of a matrix Eigenvalues and eigenvectors Empirical Bayes method Ensemble learning Errors and residuals in statistics Estimator Expectation–maximization algorithm Extensive-form game Factor analysis Feature learning Finite-state machine Fisher information Fixed effects model Ford–Fulkerson algorithm Game theory Gauss–Markov theorem General linear model Generalized assignment problem Generalized linear model Generalized method of moments Genetic algorithm Genetic programming Gini coefficient Graph coloring Graph theory Greedy algorithm Hessian matrix Hungarian algorithm Identifiability Inductive logic programming Information gain in decision trees Information retrieval Instrumental variable Integer programming Integral Interior point method Jacobian matrix and determinant Jeep problem Job shop scheduling Kalman filter Karush–Kuhn–Tucker conditions Kernel method Kernel regression Knapsack problem Knowledge representation and reasoning Knuth–Morris–Pratt algorithm Kullback–Leibler divergence Lagrange multiplier Lagrangian relaxation Law of cosines Law of cotangents Law of sines Law of tangents Least absolute deviations Least squares Leibniz integral rule Likelihood function Likelihood principle Linear complementarity problem Linear discriminant analysis Linear programming Linear regression Linear-fractional programming Lloyd's algorithm Local regression Logistic regression Low-rank approximation LU decomposition M-estimator Machine translation Markov chain Markov decision process Mathematical optimization Matrix calculus Maximum flow problem Maximum likelihood Mean and predicted response Memetic algorithm Metropolis–Hastings algorithm Minimax Minimum-variance unbiased estimator Mixed logit Mixed model Mixture model Multi-objective optimization Multi-task learning Multicriteria classification Multilevel model Multinomial logistic regression Multiple correspondence analysis Multiple integral Multiple-criteria decision analysis Naive Bayes classifier Nash equilibrium Natural language processing Nearest neighbor search Nelder–Mead method Newsvendor model Newton's method No free lunch in search and optimization Non-linear least squares Non-negative least squares Nonlinear programming Nonlinear regression Nonparametric regression Normal-form game NP-complete Observed information Odds algorithm Optimal control Optimal design Optimal stopping Ordered logit Ordinal optimization Ordinary differential equation Ordinary least squares Orthogonality principle P versus NP problem Parallel metaheuristic Pareto efficiency Parsing Partial correlation Partial derivative Partial differential equation Partial least squares regression Particle swarm optimization Pattern recognition Poisson regression Principal component analysis Principal component regression Probit model Program evaluation and review technique Proofs of trigonometric identities Pythagorean theorem QR decomposition Quadratic programming Quantile regression Random effects model Random forest Rank factorization Rao–Blackwell theorem Recursive Bayesian estimation Regression analysis Regression model validation Reinforcement learning Ridge detection Robust optimization Robust regression Score Second partial derivative test Seemingly unrelated regressions Semi-supervised learning Semidefinite programming Semiparametric regression Sensitivity and specificity Shape optimization Similarity learning Simplex algorithm Simpson's paradox Simulated annealing Simultaneous game Singular value decomposition Smoothing spline Sorting algorithm Stable marriage problem Stein's unbiased risk estimate Stochastic process Stochastic programming Stress majorization Structural equation modeling Subgradient method Sufficient statistic Supervised learning Support vector machine Surface integral Swarm intelligence Tabu search Tikhonov regularization Total derivative Transduction Travelling salesman problem Trend estimation Trigonometry Triple product rule Unsupervised learning Volume element Voronoi diagram 1 : Wikipedia books on mathematics |
| 随便看 |
|
开放百科全书收录14589846条英语、德语、日语等多语种百科知识，基本涵盖了大多数领域的百科知识，是一部内容自由、开放的电子版国际百科全书。