Artificial intelligence in games often leads to the problem of parameter tuning. Some heuristics may have coefficients, and they should be tuned to maximize the win rate of the program. A possible approach is to build local quadratic models of the win rate as a function of program parameters. Many local regression algorithms have already been proposed for this task, but they are usually not rob...

According to the American Journal of Radiology, more than half of small lesions—particularly those found in the abdomen region that includes the kidney, liver, and lung—are indeterminate by conventional CT exams. As a result, additional testing, such as a PET or MR scan, may be required to make a definitive diagnosis, possibly resulting in unnecessary healthcare costs and patient anxiety. It’s ...

Affiliations: Academic Unit of Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, University Hospital Southampton, Southampton, UK. Southampton NIHR Respiratory Biomedical Research Unit, University Hospital Southampton, Southampton, UK. Dept of Radiology, Kings College Hospital Foundation Trust, London, UK. Dept of Pathology, University of California San Francisc...

A diagnosis of idiopathic pulmonary fibrosis (IPF) has serious implications for the affected individuals, who have a 50% likelihood of dying within 2-3 yrs, an outcome which is worse than many cancers. A swift and accurate diagnosis is imperative, especially as commencing treatment at a relatively early disease stage may have the greatest impact on reducing disease progression. The 2011, IPF gu...

In this issue of Neuron, Sanders et al. (2016) demonstrate that human confidence judgments seem to arise from computations compatible with statistical decision theory, shining a new light on the old questions of how such judgments are formed.

Abstract I present the first algorithm for stochastic finite-armed bandits that simultaneously enjoys order-optimal problem-dependent regret and worst-case regret. The algorithm is based on UCB, but with a carefully chosen confidence parameter that optimally balances the risk of failing confidence intervals against the cost of excessive optimism. A brief empirical evaluation suggests the new al...

An overview of the more common system development process models used to guide the system analysis, design development and maintenance of information. Generally we have many different techniques and methods used to software development life cycle. Project and most real word models are customized adaptations of the generic models while each is designed for a specific purpose or reason, most have...