Rectified Linear Units Improve Restricted Boltzmann Machines
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that al...
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Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that al...
Preferential Thinking * What Is the Problem? * The Normality of Prejudgment * Formation of In-Groups * Rejection of Out-Groups * Patterning and Extent of Prejudice Group Differe...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTDevelopment and use of quantum mechanical molecular models. 76. AM1: a new general purpose quantum mechanical molecular modelMichael ...
Specific recommendations to clarify and enhance this methodology are outlined for each stage of the Arksey and O'Malley framework. Continued debate and development about scoping...
Astroplan is an observation planning package for astronomers. It is an astropy-affiliated package which began as a Google Summer of Code project. Astroplan facilitates convenien...
PART ONE: INTRODUCTION Interviewing as Research PART TWO: CONCEPTUALIZING THE RESEARCH INTERVIEW The Interview as a Conversation Postmodern Thought, Hermeneutics, Phenomenology,...
In an industrial maintenance context, degradation diagnosis is the problem of determining the current level of degradation of operating machines based on measurements. With the ...
Evidence from past research and insights from an exploratory investigation are combined in a conceptual model that defines and relates price, perceived quality, and perceived va...
VOLUME 2. Part III: The Social World. 21. EVOLUTIONARY SOCIAL PSYCHOLOGY (Steven L. Neuberg, Douglas T. Kenrick, and Mark Schaller). 22. MORALITY (Jonathan Haidt and Selin Ke...
The importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes. But there is still much that can be said object...
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with...