Nips 2000

Experimental design applied to fabrication of PSf membranes via NIPS method Part1: Influential parameters on membrane porosity and mechanical strength

Direct Classification with Indirect Data

We classify an input space according to the outputs of a real-valued function. The function is not given, but rather examples of the function. We contribute a consistent classifier that avoids the unnecessary complexity of estimating the function.

Experimental design applied to fabrication of PSF membranes via NIP's method Part2:Influential parameters on pure water permeability and selection criteria for optimum membrane in MF process

Competition and Arbors in Ocular Dominance

Hebbian and competitive Hebbian algorithms are almost ubiquitous in modeling pattern formation in cortical development. We analyse in theoretical detail a particular model (adapted from Piepenbrock & Obermayer, 1999) for the development of Id stripe-like patterns, which places competitive and interactive cortical influences, and free and restricted initial arborisation onto a common footing.

A Variational Mean-Field Theory for Sigmoidal Belief Networks

A variational derivation of Plefka's mean-field theory is presented. This theory is then applied to sigmoidal belief networks with the aid of further approximations. Empirical evaluation on small scale networks show that the proposed approximations are quite competitive.