The performance of our ML-assisted system for diagnosing active TAO and each inflammatory sign included in the CAS when the test set was constructed from the entire dataset are shown in Table2. The system had sensitivity of 72.7% and specificity of 83.2% for diagnosing active TAO. In the tes...
9.The physical activity monitoring and display device of claim 7, comprising a motion sensing sub system for detecting acceleration of the wearer along a plurality of axes, and wherein the physical activity information of the wearer is derived therefrom. ...
Information processing systemmeans an electronic system for creating, generating, sending, receiving, storing, displaying, or processing information. economic activitymeans putting goods or services on a market. It is not necessary to make a profit to be engaged in economic activity: if others in th...
As a consequence, the voting options were sometimes modified (e.g. wording of options for cluster names changed until the panel was satisfied it represented its views or the views of a majority of participants). Participants anonymously voted for the system name of each cluster, priority for ...
FIG. 15 is a flow diagram. Like reference numbers and designations in the various drawings indicate like elements. DETAILED DESCRIPTION Voice-based entertainment activities, such as voice-based games for example, refer to those entertainment activities in which a primary form of input for play is...
Although the method described above provides useful objective information concerning the performance of a VAD algorithm, it only gives the error rate of the system. Parameters which describe the accuracy rate are needed for a thorough analysis of the detection results. Three parameters concerning the ...
(storage), 67 prime rate, 225 print servers, 77 printers, 68 private debt, 227 private key system, 80 private networks, 74 private placement (of bonds), 227 probability analysis (capital budgeting), 191 probability distribution, 191 process costing, 302 process reengineering, 146 producer price...
for an input sample, and random forest integrates all classification voting results; the most votes and the category are designated as the final output. The two classification algorithms are applied to the generation of inertial sensor category configuration models for a single location, two location...
The former achieved a complete and correct classification except for the kNN algorithm [14]. When analyzing the impact of the number of sensors on classification results, it was found that a system with three sensors can achieve better classification results [15]. However, in an experiment, the...
Figure 1. Multi-sensor model combination system architecture block diagram. 2.2. Class-Specific Weighted Majority Voting Combining strategy refers to the voting method/scheme where different classifiers are combined based on their different sensors to obtain better predictive performance. It is another ...