Method and apparatus for managing recommendation models
US-9218605-B2 · Dec 22, 2015 · US
US9508045B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9508045-B2 |
| Application number | US-201213588912-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 17, 2012 |
| Priority date | Aug 17, 2012 |
| Publication date | Nov 29, 2016 |
| Grant date | Nov 29, 2016 |
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The apparatus, systems, and methods described herein may operate to receive information identifying and describing at least one of a set of events, an initial distribution of a plurality of states, an initial transition matrix, or an initial event matrix; generate, based at least in part on the information, at least one intermediate transition matrix and at least one intermediate event matrix describing a sparse Baum-Welch training that allows no event to occur at one or more time steps; and transform the at least one intermediate transition matrix and the at least one intermediate event matrix into a transition matrix and an event matrix describing a continuous-time Baum-Welch training, the continuous-time Baum-Welch training allowing events to occur simultaneously or at sporadic time intervals in a Markov model including a hidden Markov Model (HMM) having more than two hidden states.
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What is claimed is: 1. A method comprising: receiving, at a data training module executable by one or more hardware processors of a training node and from a source node, information identifying and describing at least one of a set of events, an initial distribution of a plurality of states, an initial transition matrix, or an initial event matrix; generating, at the data training module and based at least in part on the information, at least one intermediate transition matrix an…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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