نتایج جستجو برای: bart
تعداد نتایج: 1470 فیلتر نتایج به سال:
Recent work has begun to investigate how structured relations can be learned from non-relational and distributed input representations. A difficult challenge is to capture the human ability to evaluate relations between items drawn from distinct categories (e.g., deciding whether a truck is larger than a horse), given that different features may be relevant to assessing the relation for differe...
The ADP-ribosylation factor-like (Arl) family of small G proteins are involved in the regulation of diverse cellular processes. Arl2 does not appear to be membrane localized and has been implicated as a regulator of microtubule dynamics. The downstream effector for Arl2, Binder of Arl 2 (BART) has no known function but, together with Arl2, can enter mitochondria and bind the adenine nucleotide ...
Nicole M.F. van Gerven*, Ynto S. de Boer*, Antonie Zwiers, Bart J. Verwer, Joost P.H. Drenth, Bart van Hoek, Karel J. van Erpecum, Ulrich Beuers, Henk R. van Buuren, Jannie W. den Ouden, Robert C. Verdonk, Ger H. Koek, Johannes T. Brouwer, Maureen M.J. Guichelaar, Jan M. Vrolijk, Minneke J. Coenraad, Georg Kraal, Chris J.J. Mulder, Carin M.J. van Nieuwkerk, Elisabeth Bloemena, Hein W. Verspaget...
While long-haul express transit is gaining ridership, consumers are increasingly experiencing limited access to express transit due to saturated parking at and around stations. The smart shuttle concept was introduced to provide easy access to express transit. Smart shuttles will be equipped with advanced public transit system technologies to track shuttle vehicle locations and disseminate up-t...
We develop a Bayesian “sum-of-trees” model where each tree is constrained by a regularization prior to be a weak learner, and fitting and inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by en...
Abstract Arguably, extreme sports athletes exhibit a more significant risk appetite than the general public. Are standard behavioral measures able to capture this? To answer this question, we assessed self-reports of taking and measured risk-taking behavior samples snowboarders climbers. Two groups non-athletes, university students crowdworkers, sport that does not include potential grave injur...
In trying to better understand why individuals begin and continue to smoke despite the obvious health consequences, researchers have become interested in identifying relevant personality variables, such as risk taking. In this study, the authors compared the ability of 2 behavioral measures of risk taking, the Bechara Gambling Task (BGT) and the Balloon Analogue Risk Task (BART), to differentia...
Bayesian Analogy with Relational Transformations (BART) is a discriminative model that can learn comparative relations from non-relational inputs (Lu, Chen & Holyoak, 2012). Here we show that BART can be extended to solve inference problems that require generation (rather than classification) of relation instances. BART can use its generative capacity to perform hypothetical reasoning, enabling...
We develop a Bayesian “sum-of-trees” model where each tree is constrained by a regularization prior to be a weak learner, and fitting and inference are accomplished via an iterative Bayesian backfitting MCMC algorithm that generates samples from a posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis elements. Motivated by en...
Prior methods used to assess individual differences related to risk have not focused on an important component of risk management: how willing individuals are to pay for or take actions to insure what they already have. It is not clear whether this type of protective risk management taps into the same individual differences as does risk taking propensity measured by existing risk taking tasks. ...
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