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EMNLP
2009
13 years 5 months ago
How well does active learning
Machine involvement has the potential to speed up language documentation. We assess this potential with timed annotation experiments that consider annotator expertise, example sel...
Jason Baldridge, Alexis Palmer
ATVA
2006
Springer
153views Hardware» more  ATVA 2006»
13 years 11 months ago
Learning-Based Symbolic Assume-Guarantee Reasoning with Automatic Decomposition
Abstract. Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically bas...
Wonhong Nam, Rajeev Alur
ICML
2005
IEEE
14 years 8 months ago
A theoretical analysis of Model-Based Interval Estimation
Several algorithms for learning near-optimal policies in Markov Decision Processes have been analyzed and proven efficient. Empirical results have suggested that Model-based Inter...
Alexander L. Strehl, Michael L. Littman
DAGM
2006
Springer
13 years 11 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
PRL
2008
97views more  PRL 2008»
13 years 7 months ago
Repairing self-confident active-transductive learners using systematic exploration
We consider an active learning game within a transductive learning model. A major problem with many active learning algorithms is that an unreliable current hypothesis can mislead...
Ron Begleiter, Ran El-Yaniv, Dmitry Pechyony