248,380 research outputs found
BOCK : Bayesian Optimization with Cylindrical Kernels
A major challenge in Bayesian Optimization is the boundary issue (Swersky,
2017) where an algorithm spends too many evaluations near the boundary of its
search space. In this paper, we propose BOCK, Bayesian Optimization with
Cylindrical Kernels, whose basic idea is to transform the ball geometry of the
search space using a cylindrical transformation. Because of the transformed
geometry, the Gaussian Process-based surrogate model spends less budget
searching near the boundary, while concentrating its efforts relatively more
near the center of the search region, where we expect the solution to be
located. We evaluate BOCK extensively, showing that it is not only more
accurate and efficient, but it also scales successfully to problems with a
dimensionality as high as 500. We show that the better accuracy and scalability
of BOCK even allows optimizing modestly sized neural network layers, as well as
neural network hyperparameters.Comment: 10 pages, 5 figures, 5 tables, 1 algorith
Kostenberger, Bock, and Chatraw\u27s Truth Matters: Confident Faith in a Confusing World (Book Review)
A Review of
Truth Matters: Confident Faith in a Confusing World, by Andreas Köstenberger, Darrell Bock, and Josh Chatraw. Nashville, TN: B&H Publishing, 2014. 188 pp. $9.00. ISBN 978143368226
In Memoriam Albert Bock
Ein Nachruf auf Albert Bock, Mitbegründer von Brennos – Verein für Keltologie und Keltische Forschungen, samt Publikationsliste.A tribute to Albert Bock, co-founder of Brennos – Verein für Keltologie and Keltische Forschungen, with a publication list
Unsung Hero: Alison Bock
As the founder and president of Landmines Blow!®, Alison Bock has built an influential organization that raises awareness about landmines and unexploded ordnance, and helps victims all over the world. In the eyes of many people, Bock is truly an Unsung Hero
Measuring the string susceptibility in 2D simplicial quantum gravity using the Regge approach
We use Monte Carlo simulations to study pure 2D Euclidean quantum gravity
with -interaction on spherical topologies, employing Regge's formulation.
We attempt to measure the string susceptibility exponent by
using a finite-size scaling Ansatz in the expectation value of , as has
been done in a previous study by Bock and Vink ( hep-lat/9406018 ). By
considerably extending the range and statistics of their study we find that
this Ansatz is plagued by large systematic errors. The specific string
susceptibility exponent \GS' is found to agree with theoretical predictions,
but its determination also is subject to large systematic errors and the
presence of finite-size scaling corrections. To circumvent this obstacle we
suggest a new scaling Ansatz which in principle should be able to predict both,
\GS and \GS'. First results indicate that this requires large system sizes
to reduce the uncertainties in the finite-size scaling Ans\"atze. Nevertheless,
our investigation shows that within the achievable accuracy the numerical
estimates are still compatible with analytic predictions, contrary to the
recent claim by Bock and Vink.Comment: 33 pages, self unpacking uuencoded PostScript file, including all the
figures. Paper also available at http://www.physik.fu-berlin.de/~holm
Can Universities Encourage Students Continued Motivation For Knowledge Sharing And How Can This Help Organizations?
Both practitioners and researchers recognize the increasing importance of knowledge sharing in organizations (Bock, Zmud, Kim, & Lee, 2005; Vera-Muz, Ho, & Chow, 2006). Knowledge sharing influences a firm\u27s knowledge creation, organizational learning, performance achievement, growth, and competitive advantage (Bartol & Srivastava, 2002; Bock & Kim, 2002; Vera-Muz et al., 2006). However, an individual\u27s natural tendency is to hoard knowledge rather than to share knowledge (Davenport, 1997; Ruggles, 1998). So, how can knowledge sharing be encouraged?
Extrinsic rewards are believed to effectively motivate desired behaviors (Bartol & Locke, 2000). Under certain environmental conditions, extrinsic rewards are also believed to develop a more sustained motivation, called self-determined motivation, for these behaviors (Deci & Ryan, 1991). These ideas raise the following questions: (a) Do extrinsic rewards motivate students to share knowledge? and (b) How can universities encourage individuals to develop the self-determined motivation to take part in desired behaviors such as knowledge sharing?
This study investigates the effect of extrinsic rewards on knowledge sharing in a team setting. It also examines whether universities can facilitate individuals\u27 continued or self-determined motivation to share knowledge using certain environmental conditions. To examine these questions, I perform an experiment with 113 undergraduate students from accounting and management classes who are working on team projects. Results suggest that specifically rewarding knowledge sharing can increase individuals\u27 knowledge-sharing behaviors and, in the right environment, their internalization of the motivation to share knowledge
Regular Transformation Groups Based on Fourier-Gauss Transforms
We discuss different representations of the White noise spaces ,
by introducing generalized Wick tensors. As an application
we state a generalization of the Mehler formula for the Ornstein-Uhlenbeck
semigroup
Irrelevant natural extension for choice functions
We consider coherent choice functions under the recent axiomatisation proposed by De Bock and De Cooman that guarantees a representation in terms of binary preferences, and we discuss how to define conditioning in this framework. In a multivariate context, we propose a notion of marginalisation, and its inverse operation called weak (cylindrical) extension. We combine this with our definition of conditioning to define a notion of irrelevance, and we obtain the irrelevant natural extension in this framework: the least informative choice function that satisfies a given irrelevance assessment
Amy Bock and the Western Tradition of Passing Women
Amy Bock and the Western Tradition of Passing Wome
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