- partial prediction
- частичный прогноз
Англо-русский словарь по исследованиям и ноу-хау. Е.Г. Коваленк. 2015.
Англо-русский словарь по исследованиям и ноу-хау. Е.Г. Коваленк. 2015.
Prediction by Partial Matching (Algoritmo de compresión) — Saltar a navegación, búsqueda El algoritmo Prediction by Partial Matching (en español Predicción por Coincidencia Parcial) o PPM es una técnica adaptativa estadística de compresión de datos basada en el modelo de contexto y predicción. Los… … Wikipedia Español
Prediction by Partial Matching — (PPM) is an adaptive statistical data compression technique based on context modeling and prediction. PPM models use a set of previous symbols in the uncompressed symbol stream to predict the next symbol in the stream.Predictions are usually… … Wikipedia
Prediction by Partial Matching — Prédiction par reconnaissance partielle Les algorithmes de prédiction par reconnaissance partielle (ou PPM pour Prediction by Partial Matching) constituent une famille d algorithmes de compression de données sans perte, statistiques et adaptatifs … Wikipédia en Français
Prediction par reconnaissance partielle — Prédiction par reconnaissance partielle Les algorithmes de prédiction par reconnaissance partielle (ou PPM pour Prediction by Partial Matching) constituent une famille d algorithmes de compression de données sans perte, statistiques et adaptatifs … Wikipédia en Français
Prediction by Partial Matching — (PPM, englisch) ist eine Familie anpassender statistischer Datenkompressionsalgorithmen, die auf Kontextmodellen und Prognose aufbaut. PPM Modelle benutzen einen Satz von Symbolen aus dem vorangegangenen Symbolstrom, um das nächste Symbol des… … Deutsch Wikipedia
Prédiction par reconnaissance partielle — Les algorithmes de prédiction par reconnaissance partielle (ou PPM pour Prediction by Partial Matching) constituent une famille d algorithmes de compression de données sans perte, statistiques et adaptatifs inventée par John Cleary et Ian Witten… … Wikipédia en Français
Numerical weather prediction — Weather models use systems of differential equations based on the laws of … Wikipedia
Erosion prediction — Soil erosion prediction models play an important role both in meeting practical needs of soil conservation goals and in advancing the scientific understanding of soil erosion processes. They are used to help land managers choose practices to… … Wikipedia
Protein structure prediction — is one of the most important goals pursued by bioinformatics and theoretical chemistry. Its aim is the prediction of the three dimensional structure of proteins from their amino acid sequences, sometimes including additional relevant information… … Wikipedia
Memory-prediction framework — The memory prediction framework is a theory of brain function that was created by Jeff Hawkins and described in his 2004 book On Intelligence. This theory concerns the role of the mammalian neocortex and its associations with the hippocampus and… … Wikipedia
List of nonlinear partial differential equations — In mathematics and physics, nonlinear partial differential equations are (as their name suggests) partial differential equations with nonlinear terms. They describe many different physical systems, ranging from gravitation to fluid dynamics, and… … Wikipedia