A system for generating a minimal artificial neural network (ANN) architecture having as
inputs the minimal number of features necessary to discriminate between event classes. A …

A neural network classification method, system, and computer program product include
selecting a set of models for combination based on scenario descriptors of existing models …

A system for separating and identifying classes of patterns or events which are not
necessarily linearly separable. During a training process of the system, new prototypes are …

A method and apparatus (system) is provided for the separation into and the identification of
classes of events wherein each of the events is represented by a signal vector comprising …

An event clustering system has an extraction engine in communication with a managed
infrastructure. A signalizer engine includes one or more of an NMF engine, a k-means …

An apparatus, article and method containing an artificial neural network that, after training,
produces new trainable nodes such that input data representative of a first event and input …

A system for training a neural network. A switch is linked to feature detectors in at least some
of the layers of the neural network. For each training case, the switch randomly selectively …

A system for training a neural network. A switch is linked to feature detectors in at least some
of the layers of the neural network. For each training case, the switch randomly selectively …

A novel and useful mechanism enabling a standard learning algorithm to generate rules for
complex event processing (CEP) systems. The method creates rules that infer previously …

There is disclosed a novel system and method for building artificial neural networks for a
given task. In an embodiment, the method utilizes one or more network models that define …