OPTIMIZING MACHINE LEARNING

OPTIMIZING MACHINE LEARNING

One embodiment is directed to training a machine-learning model using sample data by partitioning the machine-learning model into sub-portions and training the sub-portions in different nodes. Another embodiment is directed to training machine-learning models using features determined based on diffe...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Peek, Daniel Nota, Wang, Shengming, Eslami, Hassan, Schulte, Wolfram, Rice, Tristan Alexander, Hu, Luhui, Xia, Yinglong
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:One embodiment is directed to training a machine-learning model using sample data by partitioning the machine-learning model into sub-portions and training the sub-portions in different nodes. Another embodiment is directed to training machine-learning models using features determined based on different data layers. Another embodiment is directed to determining a validity of a request for accessing data based on the processing results of policy modules. Another embodiment is directed to a policy engine including a policy knowledge module and a policy intelligence module. Another embodiment is directed to a smart data warehouse using natural language processing and nested heterogeneous graphs to visualize results.