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In this paper, we investigate the extent to which a movie's average user rating can be predicted after learning the relationship between the rating and a movie's various attributes from a training set. We also present an algorithm for scoring individual members based on the movie rating and also a neural network framework for estimating various parameters(More)
Despite widespread cancer awareness programs, deleterious delays in seeking diagnosis and care for cancer are as prominent now as as they were 50 years ago. These delays may be seen as attempts to resolve or postpone the crisis brought on an individual by the suspicion of terminal illness. The use of denial-like processes in the cognitive appraisal employed(More)
Market design is concerned with the creation of an arena where buyers and sellers can meet and a specification of the rules by which they execute trades. The challenges of the market design is to develop an efficient market and at the same time maximize the revenue of the market maker. This paper discusses the design and features of specialist Avalon which(More)
India is one of the fastest growing economies in the world and it is facing a huge increase in its power consumption. This paper describes how the transportation model can be used to model the Indian power sector in GAMS. The power sector is represented in the model by production capacities, cost of production and transmission, demand for power and the(More)
OBJECTIVE Psychiatric symptoms can occur early in the course of neurodegenerative metabolic conditions like Kufs' disease. This report is an illustration of a case where the diagnosis was considered primarily psychiatric till MRI (magnetic resonance imaging) of the brain was found abnormal. METHOD A case of adult neuronal ceroid lipofuscinosis (NCL) or(More)
This paper describes an autonomous stock trading agent designed based on the classical reinforcement learning algorithm Sarsa λ [1]. The Sarsa based agent, named Sarsa-trader, is compared with an agent with a successful hand coded strategy known as the Reverse Strategy [4] using a simulated stock market. Experimental results on the simulated stock market(More)
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