Revisiting Efficient Multi-Step Nonlinearity Compensation With Machine Learning: An Experimental Demonstration
نویسندگان
چکیده
منابع مشابه
Efficient Learning of Multi-step Best Response
We provide a uniform framework for learning against a recent history adversary in arbitrary repeated bimatrix games, by modeling such an agent as a Markov Decision Process. We focus on learning an optimal non-stationary policy in such an MDP over a finite horizon and adapt an existing efficient Monte Carlo based algorithm for learning optimal policies in such MDPs. We show that this new efficie...
متن کاملMachine Learning an Experimental Science (revisited) * Machine Learning as an Experimental Science (revisited) *
In 1988, Langley wrote an influential editorial in the journal Machine Learning titled “Machine Learning as an Experimental Science”, arguing persuasively for a greater focus on performance testing. Since that time the emphasis has become progressively stronger. Nowadays, to be accepted to one of our major conferences or journals, a paper must typically contain a large experimental section with...
متن کاملMachine Learning for Multi-step Ahead Forecasting of Volatility Proxies
In finance, volatility is defined as a measure of variation of a trading price series over time. As volatility is a latent variable, several measures, named proxies, have been proposed in the literature to represent such quantity. The purpose of our work is twofold. On one hand, we aim to perform a statistical assessment of the relationships among the most used proxies in the volatility literat...
متن کاملAn Efficient Multi-Attribute Pattern Matching Machine
We describe an e cient multi-attribute pattern matching machine to locate all occurrences of any of a nite number of the sequence of rule structures (called matching rules) in a sequence of input structures. The proposed algorithm enables us to match set representations containing multiple attributes. Therefore, in proposed algorithm, con rming transition is decided by the relationship, whether...
متن کاملMachine Learning as an Experimental Science (Revisited)
In 1988, Langley wrote an influential editorial in the journal Machine Learning titled “Machine Learning as an Experimental Science”, arguing persuasively for a greater focus on performance testing. Since that time the emphasis has become progressively stronger. Nowadays, to be accepted to one of our major conferences or journals, a paper must typically contain a large experimental section with...
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 Lightwave Technology
سال: 2020
ISSN: 0733-8724,1558-2213
DOI: 10.1109/jlt.2020.2994220