The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

The results show that Spain is favored to win with a probability of 14.5%. In times past, when we wanted to know which team ...

Using different pairs of loaded dice, the result of each match in the World Cup can be simulated. We took into account the official tournament draw and all FIFA rules, including the possibility of ...

Abstract: A competitive relationship has been generated between urban rail transit and bus transit since the operation of the former. Despite different roles in providing services in public transport ...

Abstract: As internet users grow and technology evolves, so do the security risks, one example being phishing. Phishing is an attempt to obtain important information from someone, such as username, ...

A global comparison of ten satellite-based forest datasets found striking disagreement about where forests are located, with only about a quarter of mapped forest area recognized by all sources.

This review presents a unified, efficient model of random decision forests which can be applied to a number of machine learning, computer vision, and medical image analysis tasks. Our model extends ...

WEST LAFAYETTE, Ind. — Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest ...

This repository contains implementations of the Random Cut Forest (RCF) probabilistic data structure. RCFs were originally developed at Amazon to use in a nonparametric anomaly detection algorithm for ...

The data acquisition methods are becoming increasingly diverse and advanced, leading to higher data dimensions, blurred classification boundaries, and overfitting datasets, affecting machine learning ...