Abstract:
A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.
Abstract:
A method for recognizing a target object in an image, and an apparatus, where the method includes extracting feature data from an image, and transforming the extracted feature data into a uniform expression, performing automatic clustering for features in the image according to the feature data in the uniform expression and a historical clustering result, grouping a target object of a known class included in an automatic clustering result into the corresponding known class, in order to recognize a target object of the known class in the image, and training a classifier in a machine learning manner, for a target object of an unknown class included in the automatic clustering result, in order to recognize a target object of an unknown class in the image. In the embodiments of the present invention, recognizing a target object of an unknown class can be implemented.
Abstract:
A method and a system for processing lifelong learning of a terminal, and an apparatus is presented. The method for processing lifelong learning of a terminal according to the present disclosure includes sending, to a server, a request for downloading a function module, where the download request includes description information of the function module; receiving the function module that is sent by the server and is corresponding to the description information; and using the function module to expand and/or update a local function. According to the embodiments of the present disclosure, the lifelong learning of the terminal is implemented, and a problem in the prior art that the terminal cannot perform function expansion and updating is resolved.
Abstract:
A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.
Abstract:
A method for recognizing a target object in an image, and an apparatus, where the method includes extracting feature data from an image, and transforming the extracted feature data into a uniform expression, performing automatic clustering for features in the image according to the feature data in the uniform expression and a historical clustering result, grouping a target object of a known class included in an automatic clustering result into the corresponding known class, in order to recognize a target object of the known class in the image, and training a classifier in a machine learning manner, for a target object of an unknown class included in the automatic clustering result, in order to recognize a target object of an unknown class in the image. In the embodiments of the present invention, recognizing a target object of an unknown class can be implemented.
Abstract:
A method for processing information by an intelligent agent and the intelligent agent, where the method comprises: a first intelligent agent sends a request message to a second intelligent agent, where the request message includes an invitation message or a recommendation message; the first intelligent agent receives a decision message fed back by the second intelligent agent, where the decision message is determined according to the invitation message or the recommendation message and a knowledge model of the second intelligent agent; and the first intelligent agent updates, according to the decision message, a knowledge model of the first intelligent agent or sends a notification message to a first user account corresponding to the first intelligent agent. By using these technical solutions, information on a social network may be learned and processed by means of interaction with another intelligent agent, thereby implementing mining of data on the social network.
Abstract:
A method and a system for processing lifelong learning of a terminal, and an apparatus is presented. The method for processing lifelong learning of a terminal according to the present disclosure includes sending, to a server, a request for downloading a function module, where the download request includes description information of the function module; receiving the function module that is sent by the server and is corresponding to the description information; and using the function module to expand and/or update a local function. According to the embodiments of the present disclosure, the lifelong learning of the terminal is implemented, and a problem in the prior art that the terminal cannot perform function expansion and updating is resolved.