Large scale machine learning systems and methods
First Claim
Patent Images
1. A system for generating a model, comprising:
- a plurality of computer nodes, at least one of the nodes being configured to;
select a candidate condition,request statistics associated with the candidate condition from other ones of the nodes,receive the requested statistics from the other nodes,form a rule based, at least in part, on the candidate condition and the requested statistics,add the rule to the model, andoutput the rule to at least one other one of the nodes.
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Abstract
A system for generating a model is provided. The system generates, or selects, candidate conditions and generates, or otherwise obtains, statistics regarding the candidate conditions. The system also forms rules based, at least in part, on the statistics and the candidate conditions and selectively adds the rules to the model.
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Citations
38 Claims
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1. A system for generating a model, comprising:
a plurality of computer nodes, at least one of the nodes being configured to; select a candidate condition, request statistics associated with the candidate condition from other ones of the nodes, receive the requested statistics from the other nodes, form a rule based, at least in part, on the candidate condition and the requested statistics, add the rule to the model, and output the rule to at least one other one of the nodes. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. A method for generating a model, the method, performed substantially concurrently by a plurality of devices, comprising:
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selecting candidate conditions; requesting statistics associated with the candidate conditions from other ones of the devices; receiving the requested statistics from the other devices; forming rules based, at least in part, on the candidate conditions and the requested statistics; adding the rules to the model; and outputting the rules.
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21. A system implemented within one or more computer devices for generating a model, comprising:
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means for forming candidate conditions; means for generating statistics associated with the candidate conditions; means for forming rules based, at least in part, on the candidate conditions and the generated statistics; means for adding the rules to the models; and means for outputting the rule.
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22. A system for generating a model, comprising:
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a repository configured to store training data that includes a plurality of features; and a plurality of nodes configured to substantially concurrently; select a candidate condition from one or more of the features or complements of the features, request statistics associated with the candidate condition from other ones of the nodes, receive the requested statistics from the other nodes, form a rule based, at least in part, on the candidate condition and the requested statistics, add the rule to the model based, at least in part, on a likelihood of the training data when the rule is added to the model, and output the rule to at least another one of the nodes. - View Dependent Claims (23)
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24. A method for generating a model in a system that includes a plurality of nodes, comprising:
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generating candidate conditions; distributing the candidate conditions to the nodes; generating statistics regarding the candidate conditions; collecting the statistics for each of the candidate conditions at one of the nodes; generating rules based, at least in part, on the statistics and the candidate conditions; adding the rules to the model; and outputting the rules. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36)
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37. A system implemented within one or more computer devices for generating a model, comprising:
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means for generating new conditions; means for distributing the new conditions to a plurality of nodes; means for generating statistics regarding the new conditions at each of the nodes; means for generating new rules based, at least in part, on the statistics and the new conditions; means for adding at least one of the new rules to the models'"'"' and means for outputting the at least one of the new rules to at least one of the nodes.
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38. A system for generating a model, comprising:
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a plurality of nodes, at least one of the nodes being configured to; receive candidate conditions, generate statistics associated with at least a first one of the candidate conditions, send the generated statistics to at least one other one of the nodes, receive statistics regarding at least a second one of the candidate conditions from other ones of the nodes, form a rule based, at least in part, on the second candidate condition and the received statistics, add the rule to the model, and outputting the rule to at least one of the nodes.
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Specification