OF THE DISSERTATION Herding: Driving Deterministic Dynamics to Learn and Sample Probabilistic Models By Yutian Chen Doctor of Philosophy in Computer Science University of California, Irvine, 2013 Professor Max Welling, Chair The herding algorithm was recently proposed as a deterministic algorithm to learn Markov random fields (MRFs). Instead of obtaining a fixed set of model parameters, herding...

This paper presents novel krill herd (KH) nature-inspired metaheuristics for solving portfolio optimization task. Krill herd algorithm mimics the herding behavior of krill individuals. The objective function for the krill movement is defined by the minimum distances of each individual krill from food and from higher density of the herd. Constrained portfolio optimization problem extends the cla...

We extend the herding algorithm to continuous spaces by using the kernel trick. The resulting “kernel herding” algorithm is an infinite memory deterministic process that learns to approximate a PDF with a collection of samples. We show that kernel herding decreases the error of expectations of functions in the Hilbert space at a rateO(1/T )which is much faster than the usual O(1/ √ T ) for iid ...

The unpredictable nature of the loads and non-linearity components microgrid systems make optimal scheduling more complex. In this paper, a deterministic load-scheduling problem is developed for microgrids operating in both islanding grid-connected mode under different energy scenarios. Various cases are considered research, based on interaction dynamic behavior microgrid, considering electric ...

Air pollution is one of the major concerns considering detriments to human health. This type leads several health problems for humans, such as asthma, heart issues, skin diseases, bronchitis, lung cancer, and throat eye infections. also poses serious issues planet. Pollution from vehicle industry cause greenhouse effect CO2 emissions. Thus, real-time monitoring air in these areas will help loca...

Major fields such as military applications, medical fields, weather forecasting, and environmental applications use wireless sensor networks for major computing processes. Sensors play a vital role in emerging technologies of the 20th century. Localization sensors needed locations is very serious problem. The environment home to every living being world. growth industries after industrial revol...