A system and method for historical database training of a support vector machine (SVM).
The SVM is trained with training sets from a stream of process data. The system detects …

An inference engine is described for efficient machine learning. For example, an inference
engine executes a plurality of ordered steps to carry out inference on the basis of observed …

(57) ABSTRACT A method, system, and computer program product for machine learning
approach for detecting and correcting litho graphic hot-spots in an integrated circuit (IC) …

An EDA tool trains a machine-learning optimization tool using quantized optimization
solution (training) data generated by conventional optimization tools. Each training data …

6,055,507 A 4/2000 Cunningham 2003/02001.30 A1 10, 2003 Ka11 et al. 6,067,549 A
5/2000 Smalley et al. 2003/02O7795 A1 11/2003 Pilon et al. 6,141,647 A 10/2000 Meijer et …

A system for using machine learning based upon Bayesian inference using a hybrid Monte
Carlo method to create a model for performing integrated circuit layout extraction is …

Manufacturing execution systems relating to methods, sys tems, and software program for
validation of pharmaceutical manufacturing processes and quality assurance process are …

Capacitive sensing can be used to measure electrostatic features of a space. Rudimentary
capacitive sensing can be blurry. For instance, the resolution of a capacitive sensor …

(57) ABSTRACT A system for using machine-learning to create a model for performing
integrated circuit layout extraction is disclosed. The system of the present invention has two …

Methods of integrating computer products with pharmaceutical manufacturing hardware
systems are described and disclosed herein. Consequently, the methods provide a means …