Default ARTMAP combines winner-take-all category node activation during training, distributed activation during testing, and a set of default parameter values that define a ready-to-use, general-purpose neural network system for supervised learning and recognition. Winner-take-all ARTMAP learning is designed so that each input would make a correct prediction if re-presented immediately after it...

Recent work has introduced class sharing as a mechanism for adapting a family of related classes with new functionality. This paper introduces homogeneous family sharing, implemented in the J&h language, in which the sharing mechanism is lifted from class-level sharing to true family-level sharing. Compared to the original (heterogeneous) class sharing mechanism, homogeneous family sharing prov...

Traditionally, the emphasis among computer scientists has been on the more rigorous and theoretical modes of worst-case and average-case analysis of algorithms. However, theoretical analysis cannot tell the full story about real-world performance of algorithms. This has resulted in a growing interest in experimental analysis. This paper presents the development of a solution that aides in the e...

We present an approach to collaborative Web based modeling using functionally defined shapes specified in the high level language HyperFun. The EmpiricalHyperFun shape modeling system based on Empirical Modeling principles provides users with an unusual degree of mutual interaction through the Web. 2 INTRODUCTION The growing number of applications facilitates the importance of methods and softw...

The surface detail reproducibility of conventional putty impressions is hindered by high viscosity and low flowability. In the plastic industry, injection moulding application utilizes an influx pressure to achieve better Leveraging this concept, technical report investigated impact on structural homogeneity, featuring pressurised technique. Surface homogeneity three techniques (non-pressurised...