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COGSCI
2010
99views more  COGSCI 2010»
15 years 6 months ago
Learning to Learn Causal Models
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
ATAL
2009
Springer
16 years 24 days ago
Generalized model learning for reinforcement learning in factored domains
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...
Todd Hester, Peter Stone
ACL
2008
15 years 7 months ago
A Generic Sentence Trimmer with CRFs
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...
Tadashi Nomoto
HCI
2007
15 years 7 months ago
Kalman Filtering in the Design of Eye-Gaze-Guided Computer Interfaces
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...
Oleg Komogortsev, Javed I. Khan
WCE
2007
15 years 7 months ago
Numerical Simulation of Impacts involving a Collapsible Nonlinear Multilayer Structure
—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...
Michael A. Sek