Automated Learning in Network Games Principal Investigator
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Cached Suucient Statistics for Automated Mining and Discovery from Massive Data Sources Principal Investigator the Computational Challenge
The Auton Lab (http://www.cs.cmu.edu/ AUTON) Andrew Moore, [email protected], 412-268-7599 (Principal Investigator) Je Schneider, [email protected], 412-268-2339 (Principal Investigator) Brigham Anderson, [email protected] Scott Davies, [email protected] Paul Komarek, [email protected] Mary Soon Lee, [email protected] Marina Meila, [email protected] Remi Munos, [email protected] Kary Myers, kary@cs...
متن کاملSimulate Congestion Prediction in a Wireless Network Using the LSTM Deep Learning Model
Achieved wireless networks since its beginning the prevalent wide due to the increasing wireless devices represented by smart phones and laptop, and the proliferation of networks coincides with the high speed and ease of use of the Internet and enjoy the delivery of various data such as video clips and games. Here's the show the congestion problem arises and represent aim of the research is t...
متن کاملPatterns Prediction of Chemotherapy Sensitivity in Cancer Cell lines Using FTIR Spectrum, Neural Network and Principal Components Analysis
Drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. Identification of resistant phenotype is very important because it can lead to effective treatment plan. There is an interest in developing classifying models of resistance phenotype based on the multivariate data. We have investigated a vibrational spectroscopic approach in order to characterize a...
متن کاملSparse Structured Principal Component Analysis and Model Learning for Classification and Quality Detection of Rice Grains
In scientific and commercial fields associated with modern agriculture, the categorization of different rice types and determination of its quality is very important. Various image processing algorithms are applied in recent years to detect different agricultural products. The problem of rice classification and quality detection in this paper is presented based on model learning concepts includ...
متن کاملPatterns Prediction of Chemotherapy Sensitivity in Cancer Cell lines Using FTIR Spectrum, Neural Network and Principal Components Analysis
Drug resistance enables cancer cells to break away from cytotoxic effect of anticancer drugs. Identification of resistant phenotype is very important because it can lead to effective treatment plan. There is an interest in developing classifying models of resistance phenotype based on the multivariate data. We have investigated a vibrational spectroscopic approach in order to characterize a...
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تاریخ انتشار 1998