Precision-Recall analysis abounds in applications of binary classification where true negatives do not add value and hence should not affect assessment of the classifier’s performance. Perhaps inspired by the many advantages of receiver operating characteristic (ROC) curves and the area under such curves for accuracybased performance assessment, many researchers have taken to report PrecisionRe...

......................................................................................................................................................3 BACKGROUND................................................................................................................................................3 PHYSICAL VS. GENERALIZED SENSOR MODELS .....................................................

Urothelial carcinoma remains an important oncologic problem with significant morbidity and mortality. This article provides an overview of the current status of treatment of urothelial carcinoma, with an update on current trials and recent American Society of Clinical Oncology abstracts. As an alternative to focusing on the metastatic setting, we take a broad look at drug development to date, a...

McNamara, Trimmer, and Houston [2012] claim to provide an explanation of certain systematic deviation from rational behavior using a mechanism that could arise through natural selection. We provide an arguably much simpler explanation. To argue convincingly that the type of mechanism proposed by McNamara et al. is adaptive, and is likely to be selected for by natural selection, then one must ar...

A conceptual approach for evaluating and selecting among alternative Electronic Data Processing (EDP) systems proposed to meet a set of EDP user needs has been developed by applying cost-effectiveness methods and techniques to the source selection problem. The report provides a framework that allows the EDP system evaluator to combine the selected relevant system performance measures and the re...

Efficiently learning accurate models of dynamical systems is of central importance for developing rational agents that can succeed in a wide range of challenging domains. The difficulty of this learning problem is particularly acute in settings with large observation spaces and partial observability. We present a new algorithm, called Compressed Predictive State Representation (CPSR), for learn...

Abstract Introduction MicroRNAs are promising biomarkers of renal disease, however the cellular origin their expression is usually unclear limiting interpretation when measured in biopsies and urine. We hypothesised that by first defining cell-enriched microRNAs, we could select based on expected histopathological profile. Method Small RNA-sequencing cortical, proximal tubular (LTL), macrophage...