Abstract:
An information processing apparatus according to the present invention includes: an acceptance unit that accepts a process request to an operation system; a specifying unit that, based on the process request, specifies an operation task to be executed in the operation system; an extraction unit that performs text analysis on the process request and extracts an answer item corresponding to an input item required at execution of the operation task from the process request; and an execution unit that executes the operation task based on the answer item.
Abstract:
An information processing apparatus according to the present invention includes: an acceptance unit that accepts a process request to an operation system; a specifying unit that, based on the process request, specifies an operation task to be executed in the operation system; an extraction unit that performs text analysis on the process request and extracts an answer item corresponding to an input item required at execution of the operation task from the process request; and an execution unit that executes the operation task based on the answer item.
Abstract:
A video search system includes: a scene information acquisition unit that obtains a scene information indicating a scene of a video; a search query acquisition unit that obtains a search query; a similarity calculation unit that calculates a similarity degree between the scene information and the search query; and a video search unit that searches for a video corresponding to the search query on the basis of the similarity degree. According to such a video search system, it is possible to properly recognize the video, for example, by using a search query that uses a natural language.
Abstract:
A visualization system, in the case where a prediction target is expressed by a sum of a plurality of partial prediction targets, includes: a reception unit 81 for receiving designation of a method of compiling the partial prediction targets into a plurality of groups; a learning unit 82 for learning, for at least one of the groups, a model having, as an objective variable, a sum of partial prediction targets included in the group; and a first display control unit 83 for causing a display device to display parameters constituting the model.
Abstract:
An air traffic control support system for more quickly grasping a flight plan in air traffic control is provided. An air traffic control support system 3 includes a learning unit 100 and a prediction unit 200. The learning unit 100 generates a prediction model, based on learning data including a past flight plan and information that affected formulation of the past flight plan. The prediction unit 200 predicts a flight plan, based on information that affects formulation of the flight plan and a prediction model.
Abstract:
In this invention, a property of a prediction target or analysis target can be predicted or analyzed with a high degree of precision during a transition from a stage in which there is extremely little or no known data about said prediction target or analysis target to a stage in which a sufficient amount of known data has been accumulated. This learning-model selection system comprises a model-evaluating means for evaluating learning models and a model-selecting means for selecting either a target learning model or a higher-order learning model on the basis of the result of the evaluation.
Abstract:
Inference results for which each user does not have detailed knowledge are presented with priority. An information processing device 1 includes: an inference unit 104 that obtains inference results by applying inference rules to context information; an inference result index value calculation unit 105 that calculates, on the basis of a knowledge level of a reading user about each inference rule used in an inference process, index values that show depth of knowledge of the reading user about the inference results comprehensively; an inference result presentation unit 106 that presents the inference results on the basis of the index values; and an knowledge level update unit 109 that updates the knowledge level of the reading user about each inference rule used in the inference process on the basis of evaluation information acquired.
Abstract:
An information processing apparatus according to the present invention includes: an acceptance unit that accepts a process request to an operation system; a specifying unit that, based on the process request, specifies an operation task to be executed in the operation system; an extraction unit that performs text analysis on the process request and extracts an answer item corresponding to an input item required at execution of the operation task from the process request; and an execution unit that executes the operation task based on the answer item.
Abstract:
An apparatus that extracts an explanatory variable used as a condition from a classification model classified by the condition for selecting a component used for prediction, displays the explanatory variable in association with any of dimensional axes of a multi-dimensional space in which a prediction value is displayed, specifies the component that corresponds to a position in the multi-dimensional space specified by each of the explanatory variables associated with the dimensional axis, displays the prediction value calculated based on the specified component, on the same position and displays the multi-dimensional space that corresponds to the position in which the prediction value is displayed, in a mode that corresponds to the component used for calculating the prediction value.
Abstract:
An estimation results display system capable of displaying an estimation result so that persons can intuitively recognize at a glance which learning model is selected when deriving the estimation result is provided. An input unit receives input of information associating an estimation result and information indicating a learning model used when deriving the estimation result. A display unit displays a graph that represents the estimation result by a symbol and in which a type of the symbol is changed depending on the learning model corresponding to the estimation result.