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Reinforcement Learning: Prediction, Control and Value Function Approximation
With the increasing power of computers and the rapid development of self-learning methodologies such as machine learning and artificial intelligence, the problem of constructing an automatic Financial Trading Systems (FTFs) becomes an increasingly attractive research topic.
A Review of Changepoint Detection Models
The objective of the change-point detection is to discover the abrupt property changes lying behind the time-series data.
Gradient Boosting Machine: A Survey
In this survey, we discuss several different types of gradient boosting algorithms and illustrate their mathematical frameworks in detail: 1. introduction of gradient boosting leads to 2. objective function optimization, 3. loss function estimations, and 4. model constructions.
