Most of this article concerns the uses of LARS and the two related methods in the age-old, " somewhat notorious, " problem of " [a]utomatic model-building algorithms.. . " for linear regression. In the following, I will confine my comments to this notorious problem and to the use of LARS and its relatives to solve it. 1. The implicit assumption. Suppose the response is y, and we collect the m p...

We are interested in parallelizing the least angle regression (LARS) algorithm for fitting linear models to high-dimensional data. consider two parallel and communication avoiding versions of basic LARS algorithm. The algorithms have different asymptotic costs practical performance. One offers more speedup other produces accurate output. first is bLARS, a block version algorithm, where we updat...

OBJECTIVE The aim of this study was to develop and validate a scoring system for bowel dysfunction after low anterior resection (LAR) for rectal cancer, on the basis of symptoms and impact on quality of life (QoL). BACKGROUND LAR for rectal cancer often results in severe bowel dysfunction (LAR syndrome [LARS]) with incontinence, urgency, and frequent bowel movements. Several studies have inve...

– The LARS-MLE algorithm, an efficient algorithm that returns the unpenalized Maximum Likelihood Estimates (MLEs) for all non-zero subsets of variables encountered along the LARS regularization path. – The Two-Metric Projection algorithm used for L1-regularized Logistic Regression. – The L1PC algorithm, a relaxed form of the L1MB algorithm that allows scaling to much larger graphs. – Extensions...

The aim of the present investigation is to study the sintering behavior of the Cu12Sn bronze system in both, a microwave furnace as well as a conventional furnace. The powders prepared by premixed and prealloyed routes were sintered in the range of solid state, transient and supersolidus liquid phase sintering conditions. The comparative analysis is based on the sintered density, densification ...

The recent rise of smart applications has drawn interest to logical reasoning over data streams. Different query languages and stream processing/reasoning engines were proposed. However, due to a lack of theoretical foundations, the expressivity and semantics of these diverse approaches were only informally discussed. Towards clear specifications and means for analytic study, a formal framework...

Climate is one of the single most important factors affecting watershed ecosystems and water resources. The effect of climate variability and change has been studied extensively in some places; in many places, however, assessments are hampered by limited availability of long-term continuous climate data. Weather generators provide a means of synthesizing long-term climate data that can then be ...

The main objective of the present study was to completely characterize the metabolites of the triterpenoid saikosaponin a (SSa) in rats. To this aim, we compared the metabolites in plasma, bile, urine, and feces samples following oral and i.v. routes of administration using liquid chromatography–diode array detector coupled with hybrid ion trap–time-of-flight mass spectrometry. As a result, bes...