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PURPOSE To evaluate 6- and 9-month follow-up data including the effect on vision and anatomic outcome in patients treated with intravitreal bevacizumab for neovascular age-related macular degeneration (AMD). STUDY DESIGN Interventional consecutive retrospective case series. Patients received intravitreal bevacizumab for the treatment of neovascular AMD(More)
In this paper, we use reinforcement learning (RL) techniques to determine dynamic prices in an electronic monopolistic retail market. The market that we consider consists of two natural segments of customers, captives and shoppers. Captives are mature, loyal buyers whereas the shoppers are more price sensitive and are attracted by sales promotions and(More)
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative models, we consider a single seller market and a two seller market, and formulate the dynamic pricing problem in a setting that easily generalizes to markets with more than two(More)
Clustering the results of a search can help a multi-document summarizer present a summary for evidence based medicine (EBM). In this work, we introduce a clustering technique that is based on multi-objective (MOO) optimization. MOO is a technique that shows promise in the areas of machine learning and natural language processing. In our approach we show how(More)
The incidence of Littre's hernia in children is unknown. The diagnosis is usually made at operation or autopsy. One case in an eight month old infant is described. Heterotropic mucoglandular tissue causing nodularity and adhesions was noted in the diverticulum. Though histological findings in Littre's hernia are not mentioned in previous reports, we believe(More)
In this paper, we propose Wavelet packet transform based prediction of trends in nonlinear financial time series data. Bombay stock Exchange (INDIA) was selected as a tool to show the Wavelet packet transform based prediction of trends in financial time series. The experimental results demonstrate that the proposed method substantially outperform existing(More)