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» Learning Domain-Specific Control Knowledge from Random Walks
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AIPS
2004
13 years 8 months ago
Learning Domain-Specific Control Knowledge from Random Walks
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
Alan Fern, Sung Wook Yoon, Robert Givan
EMNLP
2011
12 years 6 months ago
Random Walk Inference and Learning in A Large Scale Knowledge Base
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Ni Lao, Tom M. Mitchell, William W. Cohen
JSAC
2010
188views more  JSAC 2010»
13 years 1 months ago
Random-walk based approach to detect clone attacks in wireless sensor networks
Abstract--Wireless sensor networks (WSNs) deployed in hostile environments are vulnerable to clone attacks. In such attack, an adversary compromises a few nodes, replicates them, a...
Yingpei Zeng, Jiannong Cao, Shigeng Zhang, Shanqin...
CIMCA
2006
IEEE
14 years 27 days ago
Model-driven Walks for Resource Discovery in Peer-to-Peer Networks
In this paper, a distributed and adaptive approach for resource discovery in peer-to-peer networks is presented. This approach is based on the mobile agent paradigm and the random...
Mohamed Bakhouya, Jaafar Gaber
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
13 years 11 months ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...