OBJECTIVES The purpose of this nationwide intervention was to improve machine safety in small metal fabrication businesses (3 to 150 employees). The failure to implement machine safety programs related to guarding and lockout/tagout (LOTO) are frequent causes of Occupational Safety and Health Administration (OSHA) citations and may result in serious traumatic injury. METHODS Insurance safety ...

of Summary Report on Research and Development in the Field of Artificial LimbsH. A. Mauch.. ............................... 177 Abstract of Summary Report on the Development of a Reading Machine for the BlindG. C. Smith and H. A. Mauch...................... 180 Committee on Prosthetics Research and Development, Division I of Engineering-National Research Council, National Academy of Sciences-Na...

To improve computer aided diagnosis (CAD) for CT colonography we designed a hybrid classification scheme that uses a committee of support vector machines (SVMs) combined with a genetic algorithm (GA) for variable selection. The genetic algorithm selects subsets of four features, which are later combined to form a committee, with majority vote for classification across the base classifiers. Cros...

background: the increased recognition of ethical problems has contributed to the resurgence of ethics in relation to health care, and to the emergence of medical ethics as a new collaborative discipline in the world. the growing trends in biomedical technologies have been associated with increasing discussions about ethical aspects of the new knowledge in different societies. advances in geneti...

The 25th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications incl...

We present a method for determining the globally optimal on-line learning rule for a soft committee machine under a statistical mechanics framework. This rule maximizes the total reduction in generalization error over the whole learning process. A simple example demonstrates that the locally optimal rule, which maximizes the rate of decrease in generalization error, may perform poorly in compar...