Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

Abstract: One or more computing devices, systems, and/or methods for content item selection for goal achievement are provided herein. A goal of a user is identified. A model is utilized to evaluate the goal, user information, and a set of content items to generate predictions for the content items of how likely each content item will be a causation factor of the user making progress towards the goal in response to the user being provided with each content item. A target content item is selected from the set of content items based upon the target content item having a predicted likelihood of being the causation factor above a threshold. The target content item is provided through a registered media channel accessible through a device of the user.

Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

Abstract: One or more computing devices, systems, and/or methods for executing feedback actions based upon vehicle practices are provided. For example, sensor data is collected from sensors configured to collect sensor data associated with vehicles. The sensor data is synthesized to attribute sensor data to vehicle motion of the vehicle in relation to other objects. The vehicle motion is synthesized to determine driving actions of the vehicle, such as switching lanes, making a left hand turn, running a red light, etc. Vehicle practices of the vehicle are defined based upon the driving actions, such as a vehicle practice of a driver running red lights. A feedback action is executed to either reward the vehicle practices or incentivize a change in the vehicle practices.

Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

Abstract: One or more computing devices, systems, and/or methods for implementing automated barriers and delays for communication are provided. Content generated by a user may be evaluated to classify the content before the content has been submitted for access by other users. A user interface is generated and populated with an activity for the user to perform based upon a classification of the content. The user may be restricted from submitting the content until successful performance of the activity. Upon determining that the user successfully performed the activity, the user may be provided with an option to submit the content. Otherwise, the user may be blocked from submitting the content.

Abstract: One or more computing devices, systems, and/or methods for controlling a graphical user interface to present a representation of an item in messages are provided. For example, a message may be received from a first device. The message may be analyzed to identify an item of the message. A database of known items may be analyzed to determine whether the item is in the database of known items. Responsive to determining that the item is not in the database of known items, a database of representations may be analyzed to determine a representation of the item. A graphical user interface of a second device may be controlled to present a representation of the item.

Abstract: One or more computing devices, systems, and/or methods for classifier validation are provided. A set of in-sample examples are partitioned into a reduced in-sample set and a remaining in-sample set. The reduced in-sample set is processed using a set of classifiers. A subset of classifiers are identified as having error counts, over the reduced in-sample set, below a threshold number of errors. A training procedure is executed to select a classifier having a minimum error rate over the set of in-sample examples. If the classifier is within the subset of classifiers, then an out-of-sample error bound is determined for the classifier.

Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more computing devices, systems, and/or methods for content item selection for goal achievement are provided herein. A goal of a user is identified. A model is utilized to evaluate the goal, user information, and a set of content items to generate predictions for the content items of how likely each content item will be a causation factor of the user making progress towards the goal in response to the user being provided with each content item. A target content item is selected from the set of content items based upon the target content item having a predicted likelihood of being the causation factor above a threshold. The target content item is provided through a registered media channel accessible through a device of the user.

Abstract: One or more computing devices, systems, and/or methods for generating options associated with a task are provided. For example, a request to generate options associated with a task may be received via a device. Responsive to receiving the request, an option database may be analyzed based upon the task to generate a plurality of options associated with the task. One or more personality profiles may be selected from a plurality of personality profiles for the request, wherein each personality profile represents at least one objective. The plurality of options may be ranked based upon the one or more personality profiles to generate a ranked list of options. At least a portion of the ranked list may be presented.

Abstract: One or more computing devices, systems, and/or methods are provided. One or more actions may be performed based upon a plurality of sets of data. A first value associated with performance of the one or more actions may be determined. A plurality of sources of the plurality of sets of data may be determined based upon the plurality of sets of data. A plurality of values associated with the plurality of sources may be determined based upon the first value and/or the plurality of sets of data. A plurality of payment values associated with the plurality of sources may be generated based upon the plurality of values. A first payment value of the plurality of payment values may be associated with a first source of the plurality of sources. A first payment associated with the first payment value may be transferred to a first account associated with the first source.

Abstract: One or more computing devices, systems, and/or methods for implementing automated barriers and delays for communication are provided. Content generated by a user may be evaluated to classify the content before the content has been submitted for access by other users. A user interface is generated and populated with an activity for the user to perform based upon a classification of the content. The user may be restricted from submitting the content until successful performance of the activity. Upon determining that the user successfully performed the activity, the user may be provided with an option to submit the content. Otherwise, the user may be blocked from submitting the content.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more computing devices, systems, and/or methods for summarization of a conversation are provided. For example, a first message of the conversation may be received from a first user and a second message of the conversation may be received from a second user. In response to a user request by a third user or a determination that the third user did not view the first message and the second message, a device, such as a server and/or a client device of the user, may analyze a plurality of messages comprising the first message and the second message to generate a summary based upon the plurality of messages. The device may present the summary to the third user.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more devices, systems, and/or methods for presenting real-time videos of views that are obstructed are provided. For example, a first video may be received from a first camera. The first video comprises a real-time representation of a view opposing a first side of an obstruction. The first video is processed using a set of video parameters to generate a second video. The second video is transmitted to a display device. The second video is displayed on a display area positioned on a second side of the obstruction. A third video, comprising a real-time representation of the display area, is received. The set of video parameters are modified to generate a modified set of video parameters, based upon a comparison of the third video with the first video. The first video is processed using the modified set of parameters to generate an updated instance of the second video.

Abstract: One or more computing devices, systems, and/or methods for transmitting response content items to devices are presented. For example, a graphical user interface may be controlled to display an interface. The targeting interface may comprise a selectable input. The selectable input may correspond to a content item. A request for a targeted response to the content item may be received via the interface. The request may comprise a response content item and a selection of the selectable input. A plurality of assignments of the content item to a plurality of users may be determined. The response content item may be transmitted to a plurality of devices. Each device of the plurality of devices may be associated with a user of the plurality of users.

Abstract: One or more computing devices, systems, and/or methods for executing feedback actions based upon vehicle practices are provided. For example, sensor data is collected from sensors configured to collect sensor data associated with vehicles. The sensor data is synthesized to attribute sensor data to vehicle motion of the vehicle in relation to other objects. The vehicle motion is synthesized to determine driving actions of the vehicle, such as switching lanes, making a left hand turn, running a red light, etc. Vehicle practices of the vehicle are defined based upon the driving actions, such as a vehicle practice of a driver running red lights. A feedback action is executed to either reward the vehicle practices or incentivize a change in the vehicle practices.