Handbook of Hydroinformatics: Volume II: Advanced Machine Learning Techniques

ISBN-13: 9780128219614 / Angielski / Miękka / 2022

Saeid Eslamian; Faezeh Eslamian

Spis treści

35. Bayesian Estimation
36. Cloud and Cluster Computing
37. Computational and Statistical Convergence Rates
38. Concentration of Measure
39. Cross Validation
40. Data Assimilation
41. Data Fusion Techniques
42. Deep Learning
43. Empirical Orthogonal Functions
44. Empirical Orthogonal Teleconnection
45. Error Modeling
46. GARCH Time Series Analysis
47. Gradient-Based Optimization
48. Internet-Based Methods
49. Internet of Things
50. Kernel-Based Modeling
51. Large Eddy Simulation
52. Markov Chain Monte Carlo Methods
53. Minimax Estimation
54. Model Fusion Approach
55. Monitoring Quality Sensors
56. Nested Reinforcement Learning
57. Nested Stochastic Dynamic Programming
58. Nonparametric Density estimation
59. Nonparametric Regressions
60. Operational Real-Time Forecasting
61. Patter Recognition
62. Self-Adaptive Evolutionary Extreme Learning Machine
63. Stochastic Learning Algorithms
64. Supercomputing Methods (Parallelization/GPU)
65. Transient-Based Time-Frequency Analysis
66. Uncertainty-Based Resiliency Evaluation
67. Volume-Based Inverse Mode
68. WebGIS