Long sales cycles, low conversion volume, and multi-stage purchase journeys make measurement and attribution harder, creating real obstacles to campaign optimization. For B2Bs and brands selling ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
To fulfill the 2 Core Courses, take two Core Courses from two different Core Areas. CSE Core Courses are classified into six areas: Introduction to CSE, Computational Mathematics, High Performance ...
Your ad just got clicked. The visitor’s ready to explore. But instead of taking action, they bounce off the page, and your budget burns. Why? Because the page they landed on was the homepage, and it ...
ABSTRACT: Petiveria alliacea is a uterotonic plant that effectively helps resolve uterine contractility abnormalities in traditional medicine. However, scientific knowledge of its diversity remains ...
Abstract: Optimization of nearest-neighbor feature selection depends on the number of samples and features, the type of statistical effect, the feature scoring algorithm, and class imbalance. We ...
The IMEX schemes apply the implicit temporal method to only a small portion of the domain and use explicit calculations elsewhere, based on a convenient splitting algorithm. IMEX methods effectively ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
ENFORCpp is a C++ tool that allows you to solve nonlinear constrained optimization problems. The tool is designed with real-time considerations and is suitable for online trajectory and control input ...
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