This is a collection of bibliographies of scientific literature in computer science from various sources, covering most aspects of computer science. The bibliographies are updated weekly from their original locations such that you'll always find the most recent versions here.
Em Aprendizado de Máquina, a abordagem supervisionada normalmente necessita de um número significativo de exemplos de treinamento para a indução de classificadores precisos. Entretanto, a rotulação de dados é freqüentemente realizada manualmente,
Sistemas Hipermídia são programas capazes de armazenar e recuperar informações não-lineares, estabelecendo uma estrutura complexa e flexível representada por nós interligados. À medida em que aumenta o espaço de navegação, tal como acontece na
Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for a wide[...]
This is a large online bibliography on automated text categorization (ATC). You can either view it or download it as a single file (ASCII text in BibTex format) or access the fully searchable online version.
Concept mining is a discipline at the nexus of data mining, text mining, and linguistics, drawing on artificial intelligence and statistics. It aims to extract concepts from documents.
Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution
SIMBRAIN is a free tool for building, running, and analyzing neural-networks (computer simulations of brain circuitry). Simbrain aims to be as visual and easy-to-use as possible.
Vintage design, when done well, can make a user feel like they have been transported back in time. This particular style often uses design elements that look like they were found in the attic of an old house dating back to the 1920’s, 30’s, or 40’s.