Dynamic feature selection with max-relevancy and minimum redundancy criteria
BACKGROUND 0002 The present invention generally relates to the field of feature
selection, and more particularly relates to dynamic feature selection with Max-Relevancy …
selection, and more particularly relates to dynamic feature selection with Max-Relevancy …
Techniques for assigning user workloads to application servers
A Bhattacharyya, K Dantam, R Kosaraju… - US Patent …, 2016 - Google Patents
A technique for assigning a user workload to an application server includes receiving a user
request to initiate execution of a workload assigned to a user. An application server is …
request to initiate execution of a workload assigned to a user. An application server is …
Transductive feature selection with maximum-relevancy and minimum-redundancy criteria
Various embodiments select features from a feature space. In one embodiment, a set of
training samples and a set of test samples are received. The set of training samples includes …
training samples and a set of test samples are received. The set of training samples includes …
Feature selection for efficient epistasis modeling for phenotype prediction
Various embodiments select markers for modeling epistasis effects. In one embodiment, a
processor receives a set of genetic markers and a phenotype. A relevance score is …
processor receives a set of genetic markers and a phenotype. A relevance score is …
Transductive feature selection with maximum-relevancy and minimum-redundancy criteria
Various embodiments select features from a feature space. In one embodiment, a set of
training samples and a set of test samples are received. The set of training samples includes …
training samples and a set of test samples are received. The set of training samples includes …
Feature selection for efficient epistasis modeling for phenotype prediction
Various embodiments select markers for modeling epistasis effects. In one embodiment, a
processor receives a set of genetic markers and a phenotype. A relevance score is …
processor receives a set of genetic markers and a phenotype. A relevance score is …
Smart capacity for workload routing
S Lahav, L Gruendlinger, O Ron, Y Cohen… - US Patent …, 2024 - Google Patents
Abstract Systems, methods, and computer program products include smart capacity
workload routing with workload modeling. One example involves storing a workload model …
workload routing with workload modeling. One example involves storing a workload model …
Wireless communication system, base station, and wireless communication method
T Saeki - US Patent 10,736,122, 2020 - Google Patents
The present invention is to enable setting of an appropriate subordinate cell or subordinate
base station according to quality of a wireless communication service applied to a terminal …
base station according to quality of a wireless communication service applied to a terminal …
Feature selection for efficient epistasis modeling for phenotype prediction
Various embodiments select markers for modeling epistasis effects. In one embodiment, a
processor receives a set of genetic markers and a phenotype. A relevance score is …
processor receives a set of genetic markers and a phenotype. A relevance score is …
Feature selection for efficient epistasis modeling for phenotype prediction
Various embodiments select markers for modeling epistasis effects. In one embodiment, a
processor receives a set of genetic markers and a phenotype. A relevance score is …
processor receives a set of genetic markers and a phenotype. A relevance score is …