Unconstrained large margin distribution machines
نویسندگان
چکیده
منابع مشابه
Large Margin Boltzmann Machines
Boltzmann Machines are a powerful class of undirected graphical models. Originally proposed as artificial neural networks, they can be regarded as a type of Markov Random Field in which the connection weights between nodes are symmetric and learned from data. They are also closely related to recent models such as Markov logic networks and Conditional RandomFields. Amajor challenge for Boltzmann...
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ژورنال
عنوان ژورنال: Pattern Recognition Letters
سال: 2017
ISSN: 0167-8655
DOI: 10.1016/j.patrec.2017.09.005