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COLT
2006
Springer
15 years 8 months ago
Teaching Randomized Learners
Abstract. The present paper introduces a new model for teaching randomized learners. Our new model, though based on the classical teaching dimension model, allows to study the infl...
Frank J. Balbach, Thomas Zeugmann
ACL
2006
15 years 6 months ago
Semi-Supervised Conditional Random Fields for Improved Sequence Segmentation and Labeling
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Gre...
IJRR
2007
60views more  IJRR 2007»
15 years 4 months ago
Randomized Algorithms for Minimum Distance Localization
We address the problem of minimum distance localization in environments that may contain self-similarities. A mobile robot is placed at an unknown location inside a ¢¤£ self-sim...
Malvika Rao, Gregory Dudek, Sue Whitesides
INFOCOM
2003
IEEE
15 years 10 months ago
Distributed Construction of Random Expander Networks
— We present a novel distributed algorithm for constructing random overlay networks that are composed of d Hamilton cycles. The protocol is completely decentralized as no globall...
Ching Law, Kai-Yeung Siu
ICRA
2002
IEEE
183views Robotics» more  ICRA 2002»
15 years 9 months ago
Mobile Robot Localization Based on Random Closed Set Model Maps
In this paper we present a novel approach to mobile robot navigation in natural unstructured environments. Natural scenes can be considered as random fields where a large number ...
Stefan Rolfes, Maria-João Rendas