Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

We introduce a novel method for medical diagnosis modeling. Weighted Youden index serves as an important and flexible evaluation metric of diagnostic tests and we proposed a method to construct an ...

Influence maximization (IM) has been extensively studied due to its wide range of applications in scenarios such as transportation networks. In existing studies, the IM problem is primarily modeled by ...

Knowing your multiplication facts is very useful, but what happens when the numbers you are multiplying are greater than those in your multiplication tables? You will need to calculate using a column ...

Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Toby Walters is a financial writer, investor, and lifelong learner.

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...