Business Statistics
About Kriging
Kriging is very classical, geostatistical interpolation technique. It is a method of interpolation for which the interpolated values are modeled by a Gaussian process governed…
Article
Business Statistics
Case Based Reasoning
Case Based Reasoning can be used for classification and regression. It is also applicable when the cases are complicated, such as in legal cases, where…
Business Statistics
Bayesian Network
Bayesian networks do not necessarily imply a commitment to Bayesian statistics. Bayesian networks are a useful representation for hierarchical Bayesian models, which form the foundation…
Computer
Spiking Neural Network
Spiking Neural Networks is an attempt to emphasize the neurological aspects of artificial neural computation. It is to carry out neural computation. This requires that…
Computer
Boltzmann Machine
This article describe about Boltzmann Machine, which is a network of symmetrically connected, coupled stochastic binary units that make stochastic decisions about whether to be…
Computer
Hopfield Network
Hopfield Networks are constructed from artificial neurons. It consists of a set of interconnected neurons which update their activation values asynchronously. The activation values are…
Computer
Autoencoder
Autoencoder neural network is an unsupervised learning algorithm that applies backpropagation, setting the target values to be equal to the inputs. Autoencoder tries to learn…
Computer
Backpropagation
Backpropagation is a “Gradient Descent” method of training in that it uses gradient information to modify the network weights to decrease the value of the…
Computer
Computational Intelligence
Computational Intelligence is an offshoot of artificial intelligence in which the emphasis is placed on heuristic algorithms such as fuzzy systems, neural networks and evolutionary…
Computer
Automated Reasoning
This article describe about Automated Reasoning, which is the art and science of getting computers to apply logical reasoning to solve problems in computer programs.…
Computer
Adversarial Machine Learning
Adversarial Machine Learning is the study of effective machine learning techniques against an adversarial opponent. It aims to enable the safe adoption of machine learning…
Computer
Adaptive Control
Adaptive Control involves modifying the control law used by a controller to cope with the fact that the parameters of the system being controlled are…
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