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» Guided Problem Diagnosis through Active Learning
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NIPS
2000
13 years 9 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
ASPDAC
2006
ACM
100views Hardware» more  ASPDAC 2006»
14 years 1 months ago
Generation of shorter sequences for high resolution error diagnosis using sequential SAT
Commonly used pattern sources in simulation-based verification include random, guided random, or design verification patterns. Although these patterns may help bring the design ...
Sung-Jui (Song-Ra) Pan, Kwang-Ting Cheng, John Moo...
E2EMON
2006
IEEE
14 years 1 months ago
Active Probing Approach for Fault Localization in Computer Networks
—Active probing is an active network monitoring technique that has potential for developing effective solutions for fault localization. In this paper we use active probing to pre...
Maitreya Natu, Adarshpal S. Sethi
EMNLP
2011
12 years 7 months ago
Syntax-Based Grammaticality Improvement using CCG and Guided Search
Machine-produced text often lacks grammaticality and fluency. This paper studies grammaticality improvement using a syntax-based algorithm based on CCG. The goal of the search pr...
Yue Zhang 0004, Stephen Clark
HRI
2010
ACM
14 years 25 days ago
Transparent active learning for robots
—This research aims to enable robots to learn from human teachers. Motivated by human social learning, we believe that a transparent learning process can help guide the human tea...
Crystal Chao, Maya Cakmak, Andrea Lockerd Thomaz