A walk-forward algorithmic trading pipeline that combines Gaussian Hidden Markov Models for market regime detection with regime-specific Random Forest classifiers for directional signal generation.

The central challenge in portfolio management is not predicting future returns but rather adapting to changing market conditions. This article presents a systematic approach to tactical asset ...

Abstract: Timing offset and channel estimation plays an important role in the performance of amplify-and-forward two-way relay networks. The state-of-the art approach models the system as a Hidden ...

Abstract: In this project, we propose an SoC solution to accelerate the Pair-HMM's forward algorithm which is the key performance bottleneck in the GATK's HaplotypeCaller tool for DNA variant calling.

Long DNA segments shared between two individuals, known as identity-by-descent (IBD), reveal recent genealogical connections. Here we introduce ancIBD, a method for identifying IBD segments in ancient ...

The release of 150,119 UK Biobank sequences represents an unprecedented opportunity as a reference panel to impute low-coverage whole-genome sequencing data with high accuracy but current methods ...

Estimating the relationships between individuals is one of the fundamental challenges in many fields. In particular, relationship.ip estimation could provide valuable information for missing persons ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Pulse-like signals are ubiquitous in the field of single molecule analysis, e.g., ...

Sequentia is a Python package that provides various classification and regression algorithms for sequential data, including methods based on hidden Markov models and dynamic time warping. Some ...

This exploration aims to study the emotion recognition of speech and graphic visualization of expressions of learners under the intelligent learning environment of the Internet. After comparing the ...