(57) ABSTRACT A method of modelling data, comprising: training an objec tive function of a
linear classifier, based on a set of labeled data, to derive a set of classifier weights; defining …

Cardiac Output (CO) has traditionally been difficult, dangerous, and expensive to obtain.
Surrogate measures such as pulse rate and blood pressure have therefore been used to …

A method for evaluating and predicting telecommunications network traffic includes
receiving site data for multiple geographic areas via a processor. The processor also …

A multi-task (MTL) process is adapted to the single-task learning (STL) case, ie, when only a
single task is available for training. The process is formalized as pseudo-task augmentation …

The technology disclosed relates to evolving deep neural network structures. A deep neural
network structure includes a plurality of modules with submodules and interconnec tions …

The technology disclosed relates to evolving a deep neural network based solution to a
provided problem. In particular, it relates to providing an improved cooperative evolution …

(57) ABSTRACT A multi-layer analytics service stack may generate fore casted utilization
data. An input layer of the analytics service stack may receive input and designate cloud …

Systems and methods for tuning hyperparameters of a model includes: receiving at a remote
tuning service a multi-criteria tuning work request for tuning hyperparameters of the model of …

Systems and methods for tuning hyperparameters of a model includes: receiving a multi-
criteria tuning work request for tuning hyperparameters of the model of the subscriber to the …

A method and system for storage traffic modeling in a Software Defined Storage (SDS) is
disclosed. The method includes the steps of: collecting observed values of at least one …