We examine the interplay of optimization and machine learning. Great progress has been made in machine learning by cleverly reducing machine learning problems to convex optimization problems with one or more hyper-parameters. The availability of powerful convexprogramming theory and algorithms has enabled a flood of new research in machine learning models and methods. But many of the steps nece...

In view of pollution prediction modeling, the study adopts homogenous (random forest, bagging, and additive regression) and heterogeneous (voting) ensemble classifiers to predict the atmospheric concentration of Sulphur dioxide. For model validation, results were compared against widely known single base classifiers such as support vector machine, multilayer perceptron, linear regression and re...

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We present an auditable protocol for attention deficit/hyperactivity disorder (ADHD) or hyperkinetic disorder. The protocol is derived from standard recommendations and evidence, and is intended for outpatient medical clinic practice in secondary care. Suggested side effect rating scales are included.

We present a generic approach to overcoming key escrow in Identity-Based Signatures by using auditable signatures with strong non-repudiation properties. We also describe a concrete signature scheme and give an outline proof for the security of this scheme in the Random Oracle and Generic Group Models.

In this paper, we present a new way of establishing independently-verifiable identities, based on the notion of computationally expensive key generation. We then describe a fully decentralized framework where these identities can be used to assign blame and to construct auditable blacklists of cheaters.

We present the British Association of Sexual Health and HIV (BASHH) special interest group in sexual dysfunction recommendations for the management of retarded ejaculation. The recommendations outline the physiology, prevalence, definitions, aetiological factors and patient assessment for this sexual problem. We suggest treatment strategies, recommendations for management and an auditable outcome.

Although machine learning is becoming commonly used in today’s software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple "right/wrong" judgments. If the users themselves could work hand-in-hand with machine learning systems, the users’ understanding and trust of the system could improve and the accuracy of learning syst...

We present the British Association for Sexual Health and HIV (BASHH), Special Interest Group for Sexual Dysfunction updated recommendations for the management of premature ejaculation. The recommendations outline the physiology, prevalence, definitions, aetiological factors and patient assessment for this common sexual problem. Behavioural, local and systemic pharmacological treatments are disc...