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 ...

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 ...

Verizon’s EPS of $1.28 beat forecasts by 5.79%. Revenue was slightly below expectations at $34.4 billion. Stock rose 3.04% in pre-market trading. Record adjusted EBITDA and margin expansion were ...

Marathon Petroleum reported an EPS of $4.07 for Q4 2025, beating forecasts by 35.22%. Revenue for the quarter reached $33.42 billion, exceeding expectations by 1.7%. The stock price increased by 2.59% ...

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...

Individual survival and evolutionary selection require biological organisms to maximize reward. Economic choice theories define the necessary and sufficient conditions, and neuronal signals of ...

Abstract: Quasi-continuous system identification of time-variant linear acoustic systems can be applied in various audio signal processing applications when numerous acoustic transfer functions must ...

Abstract: The expectation maximization (EM) algorithm has been extensively used to solve system identification problems with hidden variables. It needs to calculate a derivative equation and perform a ...

The radiolabeled preparations were analyzed by RP HPLC on an Agilent 1200 system (Agilent Technologies). A C18 column (Onyx monolithic, 4.6 × 100 mm; Phenomenex) was used at a flow rate of 2 mL/min ...

A Python implementation of Mixed Membership Stochastic Block Models for recommendation systems, based on the work by Godoy-Lorite et al. (2016). This library provides an efficient, vectorized ...