Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent

Towards the Automated Classification of Variable Objects and Transients

Trace Lasso: a trace norm regularization for correlated designs

Tracking Student Progress Through an On-Line Astro101 Module

Tracking using explanation-based modeling

Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints

Training Logistic Regression and SVM on 200GB Data Using b-Bit Minwise Hashing and Comparisons with Vowpal Wabbit (VW)

Training Restricted Boltzmann Machines on Word Observations

Trajectory Clustering and an Application to Airspace Monitoring

Transfer Learning Using Feature Selection

Transfer of Learning: From Physical Models to Understanding Complex Phenomena*

Transforming Astro 101: From Learning Goals to Instruction and Assessment

Transforming Introductory Astronomy in the Urban University

Transiting Exoplanets: A Critical Component of a Program in Exoplanet Research

Travel Time Estimation Using Floating Car Data

Tuning advanced gravitational-wave detectors to optimally measure neutron-star merger waves

Twenty-first Century Space Science in The Urban High School Setting: The NASA/John Dewey High School Educational Outreach Partnership

Two Projection Pursuit Algorithms for Machine Learning under Non-Stationarity

Two-Manifold Problems

Types of Cost in Inductive Concept Learning