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Learn With Jay on MSN6d
Linear Regression Gradient Descent ¦ Machine Learning ¦ Explained Simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
IEEE3d
Convergence of an algorithm to find maximal state constraint sets for discrete-time linear dynamical systems with bounded controls and states
Abstract: In [1] an algorithm was presented to find an approximant to the maximal state constraint set for a linear discrete-time dynamical system with polyhedral state and input hounds. Here it is ...
Beyond Scripts: How Akhil Reddy Bairi Reimagines Test Assurance With Quantum Annealing & AI-Driven Contracts
Away from journals, peers credit Bairi with mentoring QA engineers transitioning to SDET roles, emphasizing object-oriented design and the discipline of treating tests as first-class code. That ...
IEEE2d
An algorithm for direct computation of 2-D linear prediction coefficients
Abstract: The authors present some simplifications to the method of computing two-dimensional (2-D) linear prediction coefficients (LPCs) directly from image data using an extension of the ...