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pro vyhledávání: '"Sayer, Marjorie"'
Property Specification Language (PSL) is a form of temporal logic that has been mainly used in discrete domains (e.g. formal hardware verification). In this paper, we show that by merging machine learning techniques with PSL monitors, we can extend P
Externí odkaz:
http://arxiv.org/abs/2205.14136
Autor:
Ramanan, Nandini, Tahmasbi, Rasool, Sayer, Marjorie, Jung, Deokwoo, Hemachandran, Shalini, Coelho Jr, Claudionor Nunes
Practical machine learning applications involving time series data, such as firewall log analysis to proactively detect anomalous behavior, are concerned with real time analysis of streaming data. Consequently, we need to update the ML models as the
Externí odkaz:
http://arxiv.org/abs/2110.06383
Autor:
Thimmisetty, Charanraj, Tiwari, Praveen, de la Iglesia, Didac Gil, Ramanan, Nandini, Sayer, Marjorie, Ananthakrishnan, Viswesh, Coelho Jr, Claudionor Nunes
Analysis of large observational data sets generated by a reactive system is a common challenge in debugging system failures and determining their root cause. One of the major problems is that these observational data suffer from survivorship bias. Ex
Externí odkaz:
http://arxiv.org/abs/2105.14149
Autor:
Karingula, Sankeerth Rao, Ramanan, Nandini, Tahmasbi, Rasool, Amjadi, Mehrnaz, Jung, Deokwoo, Si, Ricky, Thimmisetty, Charanraj, Cabrera, Luisa Polania, Sayer, Marjorie, Coelho Jr, Claudionor Nunes
Time series forecasting is a fundamental task emerging from diverse data-driven applications. Many advanced autoregressive methods such as ARIMA were used to develop forecasting models. Recently, deep learning based methods such as DeepAr, NeuralProp
Externí odkaz:
http://arxiv.org/abs/2104.04781