Abstract: An object of the present invention is to provide a wheel drive device capable of suppressing a temperature increase in an electric motor and a power conversion device and suppressing occurrence of a failure of an electric component. Provided are: an electric motor having a stator 60 and a rotor 40; a stator holder 80 that holds the stator 60; a power conversion device 100 that converts power supplied to the electric motor; and a wheel which accommodates the electric motor, the stator holder 80, and the power conversion device 100 on the inner peripheral side. The stator holder 80 includes a flow path 90 through which a cooling medium flows. The flow path 90 is arranged between the stator 60 and the power conversion device 100.

Abstract: A predictor creation device including a processor configured to execute a program and a storage device that stores the program acquires a calibration target ensemble predictor obtained by combining a plurality of predictors based on a training data set which is a combination of training data and ground truth data, calculates a prediction basis characteristic related to a feature of the training data for each of the plurality of predictors, acquires an expected prediction basis characteristic related to the feature based on the prediction basis characteristic related to the feature as a result of outputting the prediction basis characteristic related to the calculated feature, determines a combination coefficient of each of the plurality of predictors based on the prediction basis characteristic related to the feature and the expected prediction basis characteristic related to the feature, and calibrates the calibration target ensemble predictor based on the combination coefficient.

Abstract: A generation apparatus is configured to access a set of pieces of learning data each being a combination of a value of an explanatory variable and a value of an objective variable, a function family list including, of functions each indicating a physical law and an attribute of each of the functions, at least the functions, and search range limiting information for limiting a search range of the function family list, wherein the processor is configured to execute: first generation processing of generating a first prediction expression by setting a first parameter for the explanatory variable to a first function included in the function family list; first calculation processing of calculating, based on the search range limiting information, a first conviction degree relating to the first prediction expression; and first output processing of outputting the first prediction expression and the first conviction degree.

Abstract: There is provided is a computer system that outputs a predicted value of data to be evaluated using a predictor generated using learning data. The computer system includes the predictor; an index calculation unit that calculates an interpretation index of the data to be evaluated; and an extraction unit that selects the learning data useful for a user to interpret the predicted value of the data to be evaluated, wherein index management information for managing an interpretation index of the learning data is stored, the index calculation unit calculates the interpretation index of the data to be evaluated, and the extraction unit calculates a selection index based on the interpretation index of the data to be evaluated and the interpretation index of the learning data, selects the learning data based on the selection index, and outputs display information for presenting information indicating a processing result.

Abstract: A behavior pattern search system and method is disclosed. A change in a behavior pattern contributing to improving a Key Performance Indicator (KPI) is discovered from among changes in the behavior pattern arising in common among customers having a specific characteristic. The behavior pattern search system classifies transfiguration candidates that are customers satisfying transfiguration result information. The transfiguration result information indicates a characteristic purchase behavior predicted to occur by a change in a behavior pattern of each of the customers.

Abstract: A learner generation unit generates, as a learner group, a plurality of learners that learned a correspondence of an attribute and an outcome in each of a plurality of learning data sets extracted from a data group associated with an attribute and an outcome of each of the targets. A target selection unit applies the learner group selected for inference to an inference data set and predicts, for each of the learners, an outcome corresponding to an attribute in the inference data set, calculates, for each attribute in the inference data set, at least one of an average of the outcomes predicted for each of the learners or an index value expressing an uncertainty of the outcomes, and selects, from the inference data set, the target to which the policy is to be executed based on at least one of the calculated average or the calculated index value.

Abstract: In classification problems or regression problems, a prediction rule that is highly accurate, simple, and in match with the knowledge of experts is obtained. A system includes a prediction rule simplification unit that simplifies a prediction rule of a learning model using an evaluation metric and a restriction; a branch condition search unit that updates a part of the simplified branch condition for prediction rule based on calibration information expressing a request for a prediction value or a specific branch condition; and a threshold optimization unit that updates a part of a threshold of the simplified prediction rule based on the calibration information.

Abstract: A hypothesis evaluation system evaluates a hypothesis for a work efficiently and appropriately, and is configured to store, for a work whose efficiency is desired to be improved, a hypothesis defined by using, as elements, one or more combinations of a feature amount representing the work and a condition imposed on the feature amount, and a target index of the efficiency, generate a plurality of measures in which a value of the feature amount is set around a threshold that determines a range of the feature amount so as to satisfy the condition, store an estimation value of the efficiency for each of the measures, the estimation value being acquired by executing the measure, compare the estimation value with the target index to determine whether or not the hypothesis is established for each of the measures, and set the threshold based on a result of the determination.

Abstract: A shipping operation assisting system generates feature amount data representing a relationship between a feature amount of a shipping operation and a working hour on the basis of operation record data representing a record of a plurality of shipping operations each of which is constituted by one or more of picking operations. The system refers to the feature amount data and generates a prediction model for predicting a working hour of a shipping operation corresponding to the operation instruction from the feature amount of the operation instruction on the basis of the generated feature amount corresponding to a sample point and the working hour corresponding to the feature amount. The system generates a sample point based on a distance with respect to an insufficient area where sample points in a feature amount space are insufficient when the prediction model is generated.

Abstract: A DB server 2 stores work achievement table 210 indicating a disposition target related to a work, an actual disposition place where the disposition target is disposed, and actual work time taken for the work for each work and location information 220 indicating a plurality of disposition places where the disposition targets can be disposed. A control portion 330 acquires a mutual action search policy including a plurality of mutual action emergence patterns indicating a relation between the two disposition places influencing the work time taken for the work. A generating portion (an item combination extraction portion 350, a mutual action set search portion 360, and a disposition change optimization portion 370) generates a disposition plan indicating a plan of disposition place where the disposition target is disposed on the basis of the work achievement information, the location information, and the mutual action search policy.

Abstract: There is provided is a computer system that outputs a predicted value of data to be evaluated using a predictor generated using learning data. The computer system includes the predictor; an index calculation unit that calculates an interpretation index of the data to be evaluated; and an extraction unit that selects the learning data useful for a user to interpret the predicted value of the data to be evaluated, wherein index management information for managing an interpretation index of the learning data is stored, the index calculation unit calculates the interpretation index of the data to be evaluated, and the extraction unit calculates a selection index based on the interpretation index of the data to be evaluated and the interpretation index of the learning data, selects the learning data based on the selection index, and outputs display information for presenting information indicating a processing result.

Abstract: A change in a behavior pattern contributing to improving a Key Performance Indicator (KPI) is discovered from among changes in the behavior pattern arising in common among customers having a specific characteristic. A behavior pattern search system classifies transfiguration candidates that are customers satisfying transfiguration result information. The transfiguration result information indicates a characteristic purchase behavior predicted to occur by a change in a behavior pattern of each of the customers.

Abstract: A terminal device includes a display unit having at least a first display area and a second display area, a detection unit configured to detect a viewing state in which the first display area and/or the second display area are being viewed, and a control unit configured to, when a predetermined application is executed, perform control on the basis of the viewing state detected by the detection unit, for switching between a state in which display is performed on either one of the first display area and the second display area and display is not performed on the other one of the first display area and the second display area and a state in which display is performed on both the first display area and the second display area. A method and computer program storage device holding computer readable instructions cooperate to form a system that performs these functions.

Abstract: A terminal device includes a display unit having at least a first display area and a second display area, a detection unit configured to detect a viewing state in which the first display area and/or the second display area are being viewed, and a control unit configured to, when a predetermined application is executed, perform control on the basis of the viewing state detected by the detection unit, for switching between a state in which display is performed on either one of the first display area and the second display area and display is not performed on the other one of the first display area and the second display area and a state in which display is performed on both the first display area and the second display area. A method and computer program storage device holding computer readable instructions cooperate to form a system that performs these functions.

Abstract: (?)-DHM2EQ, which is useful as an antitumor agent and an anti-inflammatory agent, can be directly obtained by optically resolving (±)-DHM2EQ using an optically active column packed with an optical resolving agent containing, for example, amylose tris(3,5-dimethylphenylcarbamate) as an active ingredient. The (?)-DHM2EQ obtained by optical resolution using the optically active column or pharmacologically acceptable salt thereof is useful as a pharmaceutical composition for improving various symptoms.