Protein minimization: downsizing through mutation.

Minimization of Information Loss through

In this article, we explore the concept of minimization of information loss (MIL) as a a target for neural network learning. We relate MIL to supervised and unsupervised learning procedures such as the Bayesian maximum a-posteriori (MAP) discriminator, minimization of distortion measures such as mean squared error (MSE) and cross-entropy (CE), and principal component analysis (PCA). To deal wit...

Downsizing 1 Downsizing Effects on Survivors: Layoffs, Offshoring & Outsourcing

In a representative sample of 13,683 U.S. employees, we compared survivors of layoffs, offshoring, outsourcing, and their combinations to a group who experienced no downsizing. Survivors of layoffs perceived lower organizational performance, job security, affective attachment, calculative attachment, and had higher turnover intentions than the comparison. Offshoring survivors perceived lower pe...

Employee Morale during Downsizing

Surviving Defense Downsizing

Six years after Congress began reducing defense outlays, small California machine shops and aircraft parts suppliers remain highly dependent on the aerospace industry. Many firms in these two segments of the state's small defense aerospace supplier base have not branched into production of cutting-edge products for commercial customers. And other firms in these segments also may face shortages ...

GMPLS label space minimization through hypergraph layouts

All-Optical Label Switching (AOLS) is a new technology that performs packet forwarding without any optical-electrical-optical conversions. In this paper, we study the problem of routing a set of requests in AOLS networks using GMPLS technology, with the aim of minimizing the number of labels required to ensure the forwarding. We first formalize the problem by associating to each routing strateg...