A clear explanation of the GMM algorithm, detailing latent variables, data likelihood, and the Expectation-Maximization (EM) process. Application of GMMs to the LFW dataset for generating artificial ...

Selection is a decision or question. At some point in an algorithm there may need to be a question because the algorithm has reached a step where one or more options are available. Depending on ...

The Price to Earnings (P/E) ratio, a key valuation measure, is calculated by dividing the stock's most recent closing price by the sum of the diluted earnings per share from continuing operations ...

Forbes contributors publish independent expert analyses and insights.

Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the world ...

The Capital Structure page of GMM Pfaudler Ltd. presents the Authorized Capital, Issued Capital, and Paid-Up Equity Capital of the company over the period.

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental ...