Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Classification is one of the core tasks in machine learning data mining. One of several models of classification are classification rules, which use a set of if-then rules to describe a classification model. In this paper we present a set of FPGA-based compute kernels for accelerating classification rule induction. The kernels can be combined to perform specific procedures in rule induction process,...
Frequency table computation is a common procedure used in variety of machine learning algorithms. In this paper we present a parallelized kernel for computing frequency tables. The kernel is targeted for dataflow architecture implemented on field programmable gate array (FPGA). Its performance was evaluated against a parallelized software implementation running on a 6-core CPU. The kernel with six...
Frequency table computation is a key step in decision tree learning algorithms. In this paper we present a novel implementation targeted for dataflow architecture implemented on field programmable gate array (FPGA). Consistent with dataflow model of computation, the kernel views input dataset as synchronous streams of attributes and class values. The kernel was benchmarked using key functions from...
In recent decades there has been an exponential growth in quantity of collected data. Various data mining procedures have been developed to extract information from such large amounts of data. Handling ever increasing amount of data generates increasing demand for computing power. There are several ways of dealing with this demand, such as multiprocessor systems, and use of graphic processing units...
In an Artificial Neural Network (ANN) a large number of highly interconnected simple nonlinear processing units work in parallel to solve a specific problem. Parallelism, modularity and dynamic adaptation are three characteristics typically associated with ANNs. Field Programmable Gate Array (FPGA) based reconfigurable computing architectures are well suited to implement ANNs as one can exploit concurrency...
The advantages of using optical fibres as ionizing radiation sensors are discussed. The radiation induced transmission loss of a plastic clad silica (PCS) optical fibre has been investigated with respect to suitability for dosimetry purposes at 60 Co source irradiation applications. It is found that the response of PCS fibre is strongly linear with dose up to 10 3 Gy and stable...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.