Identification of Drifting Rainfall Distribution
نویسندگان
چکیده
منابع مشابه
Active Learning with a Drifting Distribution
We study the problem of active learning in a stream-based setting, allowing the distribution of the examples to change over time. We prove upper bounds on the number of prediction mistakes and number of label requests for established disagreement-based active learning algorithms, both in the realizable case and under Tsybakov noise. We further prove minimax lower bounds for this problem.
متن کاملUse of Probability Distribution in Rainfall Analysis
The daily rainfall data of 37 years were collected from the IMD approved Meteorological Observatory situated at GB Pant University of Agriculture and Technology, Pantnagar, India. The data were then processed to identify the maximum rainfall received on any one day (24hrs duration), in any week (7 days), in a month (4 weeks), in a monsoon season (4 months) and in a year (365 days period). The d...
متن کاملA Framework For Concept Drifting P2P Traffic Identification
Identification of network traffic using port-based or payload-based analysis is becoming increasing difficult with many Peer-to-Peer (P2P) application using dynamic ports, masquerading techniques, and encryption to avoid detection. To overcome this problem, several machine learning technique were proposed to classify P2P traffics. But in the real P2P network environment, new communities of peer...
متن کاملAccuracy evaluation of rainfall distribution of TRMM 43B3 satellite in the different climates of Iran
The lack of a reliable and extended system to monitor rainfall is one of the major challenges in analyzing, hydrological prediction and water resources management in Iran. Using satellite precipitation products in some parts of the country with lack or presence of low quality precipitation data, which can be used as alternative source for basins with sparse data in developing countries such as ...
متن کاملAssessment of Goodness of Fit Methods in Determining the Best Regional Probability Distribution of Rainfall Data
One of the most important problems in time series analysis of stream flow and rainfall data in an area is selecting the best probability distribution. Since the rainfall stations are associated and correlated with each other, so statistical analysis of the station data seamlessly are very important. Therefore, the first step in data analysis, is selecting the prevailing probability distribution...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Rainwater Catchment Systems
سال: 2007
ISSN: 1343-8646,2186-6228
DOI: 10.7132/jrcsa.kj00004557611