Abstract: Aspects of the subject disclosure may include, for example, determining, at a slower time-scale, inner layer weights of an inner layer of a deep neural network; providing periodically to an outer layer of the deep neural network from the inner layer, a feature vector based upon the inner layer weights; and determining, at a faster time-scale, outer layer weights of the outer layer, wherein the outer layer weights are determined in accordance with a Model Reference Adaptive Control (MRAC) update law that is based upon the feature vector from the inner layer, and wherein the outer layer weights are determined more frequently than the inner layer weights. Other embodiments are disclosed.

Abstract: Methods, non-transitory machine-readable mediums, and system to provide location services are described. In an embodiment, a method provides receiving at least two position fixes for a trajectory of an electronic device, where the at least two position fixes are obtained intermittently, matching the at least two position fixes to points on a path indicated in map data, and computing a distance for the trajectory using distance information using the map data.

Abstract: Aspects of the subject disclosure may include, for example, determining, at a slower time-scale, inner layer weights of an inner layer of a deep neural network; providing periodically to an outer layer of the deep neural network from the inner layer, a feature vector based upon the inner layer weights; and determining, at a faster time-scale, outer layer weights of the outer layer, wherein the outer layer weights are determined in accordance with a Model Reference Adaptive Control (MRAC) update law that is based upon the feature vector from the inner layer, and wherein the outer layer weights are determined more frequently than the inner layer weights. Other embodiments are disclosed.

Abstract: An analysis tool for causing a computer to use information gain of attributes and a classification algorithm to classify new records in a set of data by taking into account the predictive value of the attributes and the effect of the new record.

Abstract: An analysis tool for causing a computer to use information gain of attributes and a classification algorithm to classify new records in a set of data by taking into account the predictive value of the attributes and the effect of the new record.

Abstract: A method and apparatus for conditioning imported liquefied natural gas to conform to a particular pipeline heating value specification and recovery of liquefied petroleum gas or natural gas liquids from liquefied natural gas are disclosed. An input stream containing liquefied natural gas is split into a direct stream and a bypass stream. The direct stream is heated in a cross-exchanger to produce a heated rich liquefied natural gas stream, which is split into a primary column feed and a secondary column feed. At least a major portion of the secondary column feed is vaporized to produce a vaporized secondary column feed, which is expanded in an expander to produce a vaporized and expanded secondary column feed. A top feed, the primary column feed, and the vaporized and expanded secondary column feed are fractionated to produce an overhead product stream and a bottom product stream. The overhead product stream is compressed in a compressor coupled to the expander.

Abstract: Disclosed is a tool that assesses and classifies data in a data set to and compares those assessments with nominal attributes and text attributes of data present in a new record to assign a classification to the new record. The classification assigned to the new record is provided a confidence level based on both a qualitative factor and a quantitative factor. The qualitative factor may be calculated by forming of a list of important words for each class and comparing the list to data in the new record and converting the comparison into a confidence level; the quantitative factor may be calculated by estimating the importance or weight of several factors, ratios of certain probabilities related to the most likely class and to the second most likely class, and using the importance of the factors and matchfactors to scale the resulting ratio, then transforming the resulting ratio into a confidence level.

Abstract: An analysis tool for causing a computer to use information gain of attributes and a classification algorithm to classify new records in a set of data by taking into account the predictive value of the attributes and the effect of the new record.

Abstract: An analysis tool for causing a computer to use information gain of attributes and a classification algorithm to classify new records in a set of data by taking into account the predictive value of the attributes and the effect of the new record.

Abstract: Apparatuses including a subsea pipeline (18) extending from a first location (14) to a second location (16) and including at least one distributed buoyancy region (102) to traverse a seabed topographic feature (12) are presented. Methods including laying a subsea pipeline (218) including laying a negatively buoyant section of pipeline (218A), a distributed buoyancy section (202) of pipeline (218), and a second negatively buoyant section of pipeline (218B) from a pipelay vessel (220) to traverse an undersea topographic feature (212) are also presented.

Abstract: An analysis tool for causing a computer to use information gain of attributes and a classification algorithm to classify new records in a set of data by taking into account the predictive value of the attributes and the effect of the new record.

Abstract: Apparatuses including a subsea pipeline (18) extending from a first location (14) to a second location (16) and including at least one distributed buoyancy region (102) to traverse a seabed topographic feature (12) are presented. Methods including laying a subsea pipeline (218) including laying a negatively buoyant section of pipeline (218A), a distributed buoyancy section (202) of pipeline (218), and a second negatively buoyant section of pipeline (218B) from a pipelay vessel (220) to traverse an undersea topographic feature (212) are also presented.

Abstract: The present invention provides a method and system for classifying data items using enriched data models, and more particularly using multiple number of small sized data models for achieving higher percentage of classification. The present invention is particularly directed to data model building and classification technology. The training set used to generate data model is partitioned into at least two small sized training sets for data model generation and enrichment process. The blind data set is subjected to the sequence of resulted enriched data models resulting in a high classification percentage.

Abstract: A method and apparatus for conditioning imported liquefied natural gas to conform to a particular pipeline heating value specification and recovery of liquefied petroleum gas or natural gas liquids from liquefied natural gas are disclosed. An input stream containing liquefied natural gas is split into a direct stream and a bypass stream. The direct stream is heated in a cross-exchanger to produce a heated rich liquefied natural gas stream, which is split into a primary column feed and a secondary column feed. At least a major portion of the secondary column feed is vaporized to produce a vaporized secondary column feed, which is expanded in an expander to produce a vaporized and expanded secondary column feed. A top feed, the primary column feed, and the vaporized and expanded secondary column feed are fractionated to produce an overhead product stream and a bottom product stream. The overhead product stream is compressed in a compressor coupled to the expander.

Abstract: Various apparatuses and methods to traverse an undersea topographic feature (12) with a subsea pipeline (18) are disclosed. The apparatuses and methods of the present invention accomplish this task through the use of a concentrated buoyancy scheme (10). The invention disclosed can allow more efficient and cost effective traversal of hostile terrain for subsea pipelines at great depths while minimizing the risk of rupturing the pipeline (18) or negatively impacting the surrounding undersea environment.