Investigación | 🇬🇧 Research

A Rigorous Analysis of Self‐Adaptation in Discrete Evolutionary Algorithms

A Rigorous Analysis of Self‐Adaptation in Discrete Evolutionary Algorithms

A key challenge to making effective use of evolutionary algorithms (EAs) is to choose appropriate settings for their parameters. However, the appropriate parameter setting generally depends on the structure of the optimization problem, which is often unknown to the user. Non‐deterministic parameter control mechanisms adjust parameters using information obtained from the evolutionary process.

A Rigorous Analysis of Self‐Adaptation in Discrete Evolutionary Algorithms Leer más »

Páginas: 1 2
Explaining Autonomous Driving by Learning End-to-End Visual Attention

Explaining Autonomous Driving by Learning End-to-End Visual Attention

In this work we propose to train an imitation learning based agent equipped with an attention model. The attention model allows us to understand what part of the image has been deemed most important. Interestingly, the use of attention also leads to superior performance in a standard benchmark using the CARLA driving simulator.

Explaining Autonomous Driving by Learning End-to-End Visual Attention Leer más »

Páginas: 1 2 3
Unconventional Computer Arithmetic for Emerging Applications and Technologies

Unconventional Computer Arithmetic for Emerging Applications and Technologies

Arithmetic plays a major role in computing performance and efficiency. It is challenging to build platforms, ranging from embedded devices to high performance computers, supported on traditional binary arithmetic and silicon-based technologies that meet the requirements of today’s applications. In this talk, the state-of-the-art of non-conventional computer arithmetic is presented, considering alternative computing models and emerging technologies.

Unconventional Computer Arithmetic for Emerging Applications and Technologies Leer más »

Páginas: 1 2
The Art of Machine Learning (Algorithms + Data + R)

The Art of Machine Learning (Algorithms + Data + R)

I wrote this book because: • ML is not a recipe. It is not a matter of knowing the syntax and mechanics of various software packages.• ML is an art, not a science. (Hence the title of this book). • One does not have to be a math whiz or know advanced math in orer to use ML effectively, but one does need to understand the concepts well — the Why? and How? of ML methods

The Art of Machine Learning (Algorithms + Data + R) Leer más »

Páginas: 1 2 3
Microsoft NLP Best Practices

Microsoft NLP Best Practices

This repository contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions. The focus of the repository is on state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on problems involving text and language

Microsoft NLP Best Practices Leer más »

Páginas: 1 2 3