Events Calendar

NL Seminar-Learning Distributed Representations from Network Data and Human Navigation

Speaker: Hao Wu, USC/ISI

Talk Title: Learning Distributed Representations from Network Data and Human Navigation

Series: Natural Language Seminar

Abstract: The increasing growth of network data such as linked documents on the Web and social networks, has imposed great challenges on automatic data analysis. We study the problem of learning representations of network data, which is of critical for applications including data classification, ranking and link prediction. We present neural network embedding algorithms to learn distributed representations of network data that capture the deep context of each data point, and human cognition in navigation data. To improve the scalability of our algorithms, we use efficient optimization and sampling methods.


Biography: Hao Wu is a PhD student at USC/ISI, advised by Kristina Lerman.

Host: Xing Shi and Kevin Knight

More Info: http://nlg.isi.edu/nl-seminar/

Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

Audiences: Everyone Is Invited

Contact: Peter Zamar

Event Link: http://nlg.isi.edu/nl-seminar/