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: A new likelihood maximization algorithm called the /spl alpha/-EM algorithm (/spl alpha/-expectation-maximization algorithm) is presented. This algorithm outperforms the traditional or ...

Abstract: The robust parameter and output estimation for linear parameter varying (LPV) time-delay system with output data contaminated with outliers and subjected to randomly missing measurements are ...

A faster variant running a single density greedy yields a $1/2$ approximation (Algorithm 7). For the non-monotone case, the algorithm adopts the "density greedy + random deletion with fixed ...

For contributor/development setup (from source), see CONTRIBUTING.md. Let's start with a tiny DSL-based example that builds a simple circuit, evaluates log-likelihood ...

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 ...