- 专利标题: AUTONOMOUS LEARNING PLATFORM FOR NOVEL FEATURE DISCOVERY
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申请号: US15590988申请日: 2017-05-09
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公开(公告)号: US20180330258A1公开(公告)日: 2018-11-15
- 发明人: Theodore D. Harris , Craig O'Connell , Yue Li , Tatiana Korolevskaya
- 申请人: Theodore D. Harris , Craig O'Connell , Yue Li , Tatiana Korolevskaya
- 主分类号: G06N7/00
- IPC分类号: G06N7/00 ; G06N5/02 ; G06N5/00
摘要:
Embodiments are directed to a method of performing autonomous learning for updating input features used for an artificial intelligence model, the method comprising receiving updated data of an information space that includes a graph of nodes having a defined topology, the updated data including historical data of requests to the artificial intelligence model and output results associated with the requests, wherein different categories of input data corresponds to different input nodes of the graph. The method may further comprise updating edge connections between the nodes of the graph by performing path optimizations that each use a set of agents to explore the information space over cycles to reduce a cost function, each connection including a strength value, wherein during each path optimization, path information is shared between the rest of agents at each cycle for determining a next position value for each of the set of agents in the graph.
公开/授权文献
- US11586960B2 Autonomous learning platform for novel feature discovery 公开/授权日:2023-02-21
信息查询
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |