This paper considers a bi-objective model for a scheduling problem of unrelated parallel batch processing machines to minimize the makespan and maximum tardiness, simultaneously. Each job has a specific size and the data corresponding to its ready time, due date and processing time-dependent machine are uncertain and determined by trapezoidal fuzzy numbers. Each machine has a specific capacity,...

A parallel support vector machine based on randomized sampling technique is proposed in this paper. We modeled a new LP-type problem so that it works for general linear-nonseparable SVM training problems unlike the previous work [2]. A unique priority based sampling mechanism is used so that we can prove an average convergence rate that is so far the fastest bounded convergence rate to the best...

My name is Xinlei Pan. I am a first year graduate student in bioengineering department. I’m interested in machine learning and its application in biological data analysis. Typically examples include gene expression data analysis to construct gene regulatory network, EEG data analysis to study brain function, etc. For the machine learning part, I have a particular interest in probabilistic graph...

This paper presents a theoretical study of a model of parallel computations called Parallel Alternating-Direction Access Machine (padam). padam is an abstraction of the multiprocessor computers adena /adenart and a prototype architecture usc/omp. The main feature of padam is the organization of access to the global memory: (1) the memory modules are arranged as a 2-dimensional array, (2) each p...