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AAAI
2010
15 years 7 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 4 months ago
An integrated probabilistic model for scan-matching, moving object detection and motion estimation
Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi
ICML
1997
IEEE
16 years 7 months ago
Robot Learning From Demonstration
The goal of robot learning from demonstration is to have a robot learn from watching a demonstration of the task to be performed. In our approach to learning from demonstration th...
Christopher G. Atkeson, Stefan Schaal
TREC
2004
15 years 7 months ago
UB at TREC 13: Genomics Track
This paper describes the experiments of the State University of New York at Buffalo in TREC 13. We participated in the Genomics track and submitted official runs to the Adhoc retri...
Miguel E. Ruiz, Munirathnam Srikanth, Rohini K. Sr...
ICSE
2004
IEEE-ACM
16 years 6 months ago
Heuristic-Based Model Refinement for FLAVERS
FLAVERS is a finite-state verification approach that allows an analyst to incrementally add constraints to improve the precision of the model of the system being analyzed. Except ...
Jianbin Tan, George S. Avrunin, Lori A. Clarke