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…
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…
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…
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…
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…
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.…
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…
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…
Contextual Image Classification
Contextual Image Classification based on multi spatiotemporal data. It define the classifiers based on the log posterior probabilities on the neighborhoods calculated respective training data…
Template Matching
This article talks about Template Matching, which is a method for searching and finding the location of a template image in a larger image. It…
Multilinear Subspace Learning
Multilinear Subspace Learning (MSL) dimensionality reduction of multidimensional data gives a comprehensive introduction to both theoretical and practical aspects of MSL for the dimensionality reduction…
Load More