Despite the well-known performances and the theoretical power of neural networks, learning and generalizing are sometimes very difficult. In this article, we investigate how short ...
act Transcript Notation for Analyzing Interactional Construction of Meaning in Online Learning Daniel Suthers, Nathan Dwyer, Ravi Vatrapu, and Richard Medina CL 3 Saturday 1:00
We study the dynamics of a Hebbian ICA algorithm extracting a single non-Gaussian component from a high-dimensional Gaussian background. For both on-line and batch learning we fin...
We show that using confidence-weighted classification in transition-based parsing gives results comparable to using SVMs with faster training and parsing time. We also compare wit...
Abstract. We formulate the multiperiod, distribution-free perishable inventory problem as a problem of prediction with expert advice and apply an online learning method (the Weak A...
Tatsiana Levina, Yuri Levin, Jeff McGill, Mikhail ...