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Materias / palabras clave: Black box; Harm; Computer science; Key (lock); Criminal justice; Artificial intelligence; Economic Justice; Machine learning; Data science; Criminology; Psychology; Computer security

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...

Materias / palabras clave: Computer science; Artificial intelligence; Taxonomy (biology); Field (mathematics); Software deployment; Data science; Deep learning; Machine learning; Management science; Software engineering; Engineering; Botany

Materias / palabras clave: Extreme learning machine; Computer science; Bottleneck; Generalization; Feedforward neural network; Artificial neural network; Benchmark (surveying); Feed forward; Artificial intelligence; Key (lock); Machine learning; A...

Materias / palabras clave: Computational intelligence; Support vector machine; Least squares support vector machine; Quadratic programming; Benchmark (surveying); Set (abstract data type); Computer science; Quadratic equation; Mathematics; Artific...

Feature selection is an important problem for pattern classification systems. We study how to select good features according to the maximal statistical dependency criterion based on mutual information. Because of the dif...

A measure is presented which indicates the similarity of clusters which are assumed to have a data density which is a decreasing function of distance from a vector characteristic of the cluster. The measure can be used t...

We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-of-the-art results in the PASCAL object det...

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...

A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. However, in many real-world applications, this...

Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused. We propose a method of automatic machine translation evalu...

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 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...

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-...

Materias / palabras clave: Support vector machine; Computer science; Regularization (linguistics); Quadratic programming; Perspective (graphical); Machine learning; Relevance vector machine; Function (biology); Regular polygon; Artificial intellig...

Materias / palabras clave: Feature vector; Generalization; Support vector machine; Artificial intelligence; Computer science; Relevance vector machine; Structured support vector machine; Dimension (graph theory); Benchmark (surveying); Vector spac...

Materias / palabras clave: Feature selection; Artificial intelligence; Selection (genetic algorithm); Computer science; Feature (linguistics); Pattern recognition (psychology); Machine learning; Linguistics; Philosophy

Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size and complexity of modern datasets, it is increasingly important to be...

Materias / palabras clave: artificial intelligence, drug discovery, bio- and cheminformatics, machine learning, machine intelligence, deep learning; Science: Science (General)

Materias / palabras clave: artificial intelligence, machine learning, computer vision, computational intelligence, information engineering, evolutionary computation; Science: Mathematics: Instruments and machines: Electronic computers. Computer sc...

Materias / palabras clave: knowledge intelligence, perceptual intelligence, machine learning, behavioral intelligence, brain and cognition, ai chips and applications; Science: Mathematics: Instruments and machines: Electronic computers. Computer s...

Materias / palabras clave: artificial intelligence, autonomous robotics, computational intelligence, computer vision, cybersecurity, machine learning; Language and Literature: Philology. Linguistics: Computational linguistics. Natural language pro...

Materias / palabras clave: artificial intelligence, machine learning, deep learning, natural language processing, robotics, human-machine interaction; Language and Literature: Philology. Linguistics: Computational linguistics. Natural language pro...

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