Showing items related by title, author, creator and subject.

• Efficient Algorithms for Structured Output Learning 

  Balamurugan, P (2018-05-08)

  Structured output learning is the machine learning task of building a classifier to predict structured outputs. Structured outputs arise in several contexts in diverse applications like natural language processing, computer ...

• On Learning k-Parities and the Complexity of k-Vector-SUM 

  Gadekar, Ameet (2018-02-06)

  In this work, we study two problems: first is one of the central problem in learning theory of learning sparse parities and the other k-Vector-SUM is an extension of the not oriousk-SUM problem. We first consider the problem ...

• Approximate Dynamic Programming and Reinforcement Learning - Algorithms, Analysis and an Application 

  Lakshminarayanan, Chandrashekar (2018-08-13)

  Problems involving optimal sequential making in uncertain dynamic systems arise in domains such as engineering, science and economics. Such problems can often be cast in the framework of Markov Decision Process (MDP). ...