Ryan Eichler holds a B.S.B.A with a concentration in Finance from Boston University. He has held positions in, and has deep experience with, expense auditing, personal finance, real estate, as well as ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Abstract: Force curve is the most important techniques for accurate measuring the stiffness, adhesion and energy dissipation. However, due to the challenges of probe-cell localization, this type of ...
Abstract: This study presents a DOA estimation method without angular ambiguity using a transformed covariance matrix differencing approach, with the aim of mitigating the impact of the correlation ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...
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