For many supervised learning tasks it is very costly to produce training data with class labels. Active learning acquires data incrementally, at each stage using the model learned...
Execution-driven simulation has become the primary method for evaluating architectural techniques as it facilitates rapid design space exploration without the cost of building pro...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
Abstract-- This paper describes a framework for constructing a three-dimensional immersive environment that can be used for training physical activities. The system is designed to ...
– In this paper, we present a hierarchical methodology that learns new walking gaits autonomously while operating in an uncharted environment, such as on the Mars planetary surfa...