The ever-increasing size of modern data sets combined with the difficulty of obtaining label information has made semi-supervised learning one of the problems of significant practical importance in modern data analysis. We revisit the approach to semi-supervised learning with generative models and develop new models that allow for effective generalisation from small labelled data sets to large ...

Deep networks are successfully used as classification models yielding state-ofthe-art results when trained on a large number of labeled samples. These models, however, are usually much less suited for semi-supervised problems because of their tendency to overfit easily when trained on small amounts of data. In this work we will explore a new training objective that is targeting a semi-supervise...

Distance Metric Learning (DML) seeks to learn a discriminative embedding where similar examples are closer, and dissimilar apart. In this paper, we address the problem of Semi-Supervised DML (SSDML) that tries metric using few labeled examples, abundantly available unlabeled examples. SSDML is important because it infeasible manually annotate all present in large dataset. Surprisingly, with exc...

The first phase of an accelerated project to develop Saudi Arabia’s deep gas potential has been sanctioned, and a large number of new gas producers are currently being drilled and completed. A number of wells have been either acid or hydraulically frac’d, and preliminary production tests have shown significant productivity increases resulting from this type of stimulation. Consequently, plans h...

Geological storage of CO2 is one of the most promising strategies for obtaining largescale reduction in global CO2 emissions. Deep, saline aquifers within sedimentary basins have been identified as attractive options for geologic storage with a large potential storage capacity for CO2 disposal. An important risk of geological storage is the potential for leakage along existing oil and gas wells...

Data on new specimens of the rare subterranean catfish Phreatobius cisternarum are reported. Specimens were collected from hand-dug wells in the region of the mouth of the Amazon river, Brazil. A revised diagnosis of Phreatobius is proposed, and P. cisternarum is redescribed on the basis of new and previously available material. Included are data on coloration, both in life and preserved, SEM o...

In this paper, we develop a novel semi-supervised learning algorithm called hybrid deep belief networks (HDBN), to address the semi-supervised sentiment classification problem with deep learning. First, we construct the previous several hidden layers using restricted Boltzmann machines (RBM), which can reduce the dimension and abstract the information of the reviews quickly. Second, we construc...

OBJECTIVES To apply a previously validated clinical model for predicting pre-test probability of deep vein thrombosis (DVT) to patients attending an emergency department with symptoms suggestive of DVT and assess its reproducibility in the patient population. To measure the diagnostic value of the SimpliRED D-dimer assay in effectively excluding DVT. METHOD Prospective study between March 199...

Public-supply wells with long screens in alluvial aquifers can produce waters of differing quality from different depths. Seasonal changes in quality are linked to seasonal changes in pumping rates that influence the distribution of flow into the well screens under pumping conditions and the magnitude and direction of intraborehole flow within the wells under ambient conditions. Groundwater flo...