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With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, Internet, and finance, it becomes critical to advance the fundamental understanding ...

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex dev...

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date ...

This paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of the field and a broad...

An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation. However, there has been little work exploring useful a...

MOTIVATION: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification. RESULTS: UBLAST and USEARCH are new algorithms enabling sensitive ...

Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well each state of each HMM fits a frame or a sh...

The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference system implemented in the framework of adaptive networks. By using a hybri...

Papers from the 2006 flagship meeting on neural computation, with contributions from physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing Systems (...

Object detection performance, as measured on the canonical PASCAL VOC dataset, has plateaued in the last few years. The best-performing methods are complex ensemble systems that typically combine multiple low-level image...

Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-...

LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popul...

This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributio...

As a present to Mizar on its 50th anniversary, we develop an AI/TP system that automatically proves about 60% of the Mizar theorems in the hammer setting. We also automatically prove 75% of the Mizar theorems when the au...

Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and natural language understanding. The data in these tasks are t...

Materias / palabras clave: artificial intelligence and machine learning in systems, big data and analytics, quantum computing and emerging systems, distributed and cloud computing, cybersecurity and cryptography, blockchain and decentralized syste...

Materias / palabras clave: artificial intelligence, machine learning, automation, robotics, control systems, information systems; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics

Materias / palabras clave: data analytics, artificial intelligence, digital transformation, machine learning; Technology: Technology (General): Industrial engineering. Management engineering: Management information systems

Materias / palabras clave: education, artificial intelligence, learning systems, machine learning, computer aided instruction, education computing; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: computer science, information systems, machine learning, artificial intelligence, information technology, software engineering; Technology: Technology (General): Industrial engineering. Management engineering: Informatio...

Materias / palabras clave: artificial intelligence, machine learning, artificial neural networks, genetic algorithms, expert systems, fuzzy logic; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: artificial intelligence, machine learning, natural language processing, fuzzy systems; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materias / palabras clave: computational intelligence, artificial intelligence, machine learning, computer applications, distributed intelligent systems, evolutionary computation; Science: Mathematics: Instruments and machines: Electronic computer...

Materias / palabras clave: intelligent systems, artificial intelligence, big data analytics, machine learning, cybersecurity, internet of things (iot); Technology: Technology (General): Industrial engineering. Management engineering: Information t...