Abstract:
A video hosting service comprising video classifiers that identify content sources of content included in videos uploaded to the video hosting service. Identifying the content source allows a content owner of the content source to claim ownership of videos that include content based on the content source. Usage policies associated with the content owners are applied to the uploaded videos that describe how the video hosting service is to treat the videos.
Abstract:
A system, a method and a computer program product for verifying a statement are provided. The system is configured to receive a statement. The system is configured to decompose the received statement into one or more sets of question and answer pairs. The system is configured to determine a confidence value of each answer in the one or more question and answer pair sets. The system is configured to combine the determined confidence values. The combined confidence values represent a probability that the received statement is evaluated as true.
Abstract:
Exemplary embodiments described herein are directed to systems and methods that estimate a user's affect and communication preferences from presence data. The exemplary embodiments use a small set of features derived from a user's recent high level presence states. Exemplary embodiments also use features from broader classes of presence data. Utilizing features from a combination of presence data and recent presence states may provide improvement over estimates that users are able to make themselves. The exemplary embodiments further consider cost, burden on the user, and privacy issues in estimating affect and communication preferences.
Abstract:
A medical diagnostic supporting apparatus inputs a medical image to be a target of a medical diagnosis, acquires one or more pieces of medical information relating to the medical image as entered information, and acquires an image feature amount from the medical image. The medical diagnostic supporting apparatus selects a plurality of pieces of not-entered information associated with the acquired image feature amount from not-entered information that is medical information other than the entered information as presented not-entered information candidates that are candidates for presentation, and selects presented not-entered information from the presented not-entered information candidates based on a plurality of inference results acquired using the entered information and each of the presented not-entered information candidates. The medical diagnostic supporting apparatus presents the selected presented not-entered information to a doctor.
Abstract:
Embodiments of the present invention characterizing the uncertainty of the orbital state of an Earth-orbiting space object hereof using a Gauss von Mises probability density function defined on the n+1 dimensional cylindrical manifold n×. Additionally, embodiments of the present invention can include transforming a Gauss von Mises distribution under a diffeomorphism and approximating the output as a Gauss von Mises distribution. Embodiments of the present invention can also include fusing a prior state represented by a Gauss von Mises distribution with an update report, wherein the update can be either another Gauss von Mises distribution of the same dimension as the prior or an observation related to the prior by a stochastic measurement model. A Gauss von Mises distribution can be calculated from a plurality of reports, wherein the reports are either Gauss von Mises distributions or observations related to the state space by a stochastic measurement model.
Abstract translation:本发明的实施例使用在n + 1维圆柱形歧管n×上定义的高斯冯·米塞斯概率密度函数来表征本地轨道空间物体的轨道状态的不确定性。 另外,本发明的实施例可以包括在差异变换下变换高斯冯米塞斯分布,并将输出近似为高斯冯米塞斯分布。 本发明的实施例还可以包括将由Gauss von Mises分布表示的先前状态与更新报告进行融合,其中更新可以是与之前相关的另一个高斯冯米塞斯分布或与先前相关的观察 随机测量模型。 高斯冯米塞斯分布可以从多个报告中计算,其中报告是高斯冯米塞斯分布或随机测量模型与状态空间相关的观测值。
Abstract:
An admission control system for a cloud database includes a machine learning prediction module to estimate a predicted probability for a newly arrived query with a deadline, if admitted into the cloud database, to finish its execution before said deadline, wherein the prediction considers query characteristics and current system conditions. The system also includes a decision module applying the predicted probability to admit a query into the cloud database with a target of profit maximization with an expected profit determined using one or more service level agreements (SLAs).
Abstract:
Asset surveillance method and system used in combination with a computer and memory for determining the condition of an asset using dynamically-selected estimation models for determining estimated data values in combination with dynamically-selected comparison models to more reliably determine the condition of the asset and to additionally determine the cause for any determined fault condition.
Abstract:
Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices or platforms to facilitate or otherwise support one or more processes or operations associated with a space-time-node engine signal processing.
Abstract:
A nuclear-characteristic calculating program for calculating a nuclear characteristic of a fuel rod that contains nuclear fuel and burnable poison includes a first scattering model that can represent a simple scattering of the neutron and a second scattering model that can represent a complicated scattering of the neutron. The nuclear-characteristic calculating program includes step of calculating, when a burnup of the fuel rod is before a set burnup at which the burnable poison is considered to lose neutron absorption capability, the nuclear characteristic of the fuel rod by using the second scattering model, step of switching, when the burnup of the fuel rod is the set burnup, the scattering model from the second scattering model to the first scattering model, and step of calculating, after performing step of switching, the nuclear characteristic of the fuel rod by using the first scattering model.
Abstract:
Systems and methods for analyzing documents are provided herein. A plurality of documents and user input are received via a computing device. The user input includes hard coding of a subset of the plurality of documents, based on an identified subject or category. Instructions stored in memory are executed by a processor to generate an initial control set, analyze the initial control set to determine at least one seed set parameter, automatically code a first portion of the plurality of documents based on the initial control set and the seed set parameter associated with the identified subject or category, analyze the first portion of the plurality of documents by applying an adaptive identification cycle, and retrieve a second portion of the plurality of documents based on a result of the application of the adaptive identification cycle test on the first portion of the plurality of documents.