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ICASSP
2010
IEEE
15 years 12 hour ago
An L1 criterion for dictionary learning by subspace identification
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...
Florent Jaillet, Rémi Gribonval, Mark D. Pl...
ICANN
2010
Springer
15 years 27 days ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
ICML
2010
IEEE
15 years 27 days ago
OTL: A Framework of Online Transfer Learning
In this paper, we investigate a new machine learning framework called Online Transfer Learning (OTL) that aims to transfer knowledge from some source domain to an online learning ...
Peilin Zhao, Steven C. H. Hoi
KELSI
2004
Springer
15 years 5 months ago
Multiple-Instance Case-Based Learning for Predictive Toxicology
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
Eva Armengol, Enric Plaza
AAAI
2007
15 years 2 months ago
Learning Language Semantics from Ambiguous Supervision
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Rohit J. Kate, Raymond J. Mooney