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» Learning with Annotation Noise
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79
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AAAI
2012
13 years 1 days ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
67
Voted
ENC
2006
IEEE
15 years 3 months ago
Cleaning Training-Datasets with Noise-Aware Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante
70
Voted
AAAI
1994
14 years 11 months ago
Lexical Acquisition in the Presence of Noise and Homonymy
This paper conjectures a computational account of how children might learn the meanings of words in their native language. First, a simplified version of the lexical acquisition t...
Jeffrey Mark Siskind
AIRS
2004
Springer
15 years 3 months ago
A Bootstrapping Approach for Geographic Named Entity Annotation
Abstract. Geographic named entities can be classified into many subtypes that are useful for applications such as information extraction and question answering. In this paper, we ...
Seungwoo Lee, Gary Geunbae Lee
HICSS
2002
IEEE
111views Biometrics» more  HICSS 2002»
15 years 2 months ago
Voice Annotation of Multimedia Artifacts: Reflective Learning in Distributed Professional Communities
This paper reports on a UK ESRC-funded project studying representations of practice, in video clips and voice annotations, for professional collaborative learning in distributed o...
Christine Steeples