Learning to understand a single causal system can be an achievement, but humans must learn about multiple causal systems over the course of a lifetime. We present a hierarchical B...
Charles Kemp, Noah D. Goodman, Joshua B. Tenenbaum
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
The paper presents a novel sentence trimmer in Japanese, which combines a non-statistical yet generic tree generation model and Conditional Random Fields (CRFs), to address improv...
Abstract. In this paper, we design an Attention Focus Kalman Filter (AFKF) a framework that offers interaction capabilities by constructing an eyemovement language, provides real-t...
—A numerical model for the simulation of dynamic compression of a nonlinear multilayer structure subjected to transient compressive excitation is described and tested. It is show...