In this paper, we introduce transformations of deep rectifier networks, enabling the conversion of deep rectifier networks into shallow rectifier networks. We subsequently prove that any rectifier net of any depth can be represented by a maximum of a number of functions that can be realized by a shallow network with a single hidden layer. The transformations of both deep rectifier nets and deep...

We report the first direct measurement of the proton 3-D Born-Oppenheimer potential in any material. The proton potential surfaces in the hydrogen bonded superprotonic conductor Rb3H(SO4)2 are extracted from the momentum distribution measured using Deep Inelastic Neutron Scattering(DINS). The potential has a single minimum along the bond direction, which accounts for the absence of the antiferr...

SemLAV allows to execute SPARQL queries against the Deep Web and Linked Open Data data sources. It implements the mediatorwrapper architecture based on view definitions over remote data sources. SPARQL queries are expressed using a mediator schema vocabulary, and SemLAV selects relevant data sources and rank them. The ranking strategy is designed to deliver results quickly based only on view de...

This critical review examines the effects of two different types of neurosurgical interventions for generalized dystonia, brain lesioning procedures and deep brain stimulation (DBS). Study designs include: single-group posttest only (2), single-group pre-posttest (3), and mixed (between and within) randomized clinical trial (1). Reports on brain lesioning studies showed evidence that surgery ha...

— The shuffle mode, where songs are played in a randomized order that is decided upon for all tracks at once, is widely found and known to exist in music player systems. There are only few music enthusiasts who use this mode since it either is too random to suit their mood or it keeps on repeating the same list every time. In this paper, we propose to build a convolutional deep belief network(C...

Yeast and filamentous fungi have been essential model systems for unveiling the secrets of RNA interference (RNAi). Research on these organisms has contributed to identifying general mechanisms and conserved eukaryotic RNAi machinery that can be found from fungi to mammals. The development of deep sequencing technologies has brought on the last wave of studies on RNAi in fungi, which has been f...

Duplicate identification is a critical step in deep web data integration, and generally, this task has to be performed over multiple web databases. However, a customized matcher for two web databases often does not work well for other two ones due to various presentations and different schemas. It is not practical to build and maintain matchers for n web databases. In this paper, we target at b...

This report describes the experiments of the University of Edinburgh and the University of Sydney at the TREC-2004 question answering evaluation exercise. Our system combines two approaches: one with deep linguistic analysis using IR on the AQUAINT corpus applied to answer extraction from text passages, and one with a shallow linguistic analysis and shallow inference applied to a large set of s...

Despite their prevalence, deep networks are poorly understood. This is due, at least in part, to their highly parameterized nature. As such, while certain structures have been found to work better than others, the significance of a model’s unique structure, or the importance of a given layer, and how these translate to overall accuracy, remains unclear. In this paper, we analyze these propertie...