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LREC
2010
213views Education» more  LREC 2010»
15 years 7 months ago
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...
Vamshi Ambati, Stephan Vogel, Jaime G. Carbonell
NIPS
2007
15 years 7 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
FLAIRS
2004
15 years 7 months ago
On the Pedagogically Guided Paper Recommendation for an Evolving Web-Based Learning System
In this paper we discuss the mechanism of a recommender system recommending papers for an evolving web-based learning system. Our system is unique in three aspects. The first is t...
Tiffany Ya Tang, Gordon I. McCalla
UAI
2003
15 years 7 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
JOCN
2010
109views more  JOCN 2010»
15 years 4 months ago
Learning Shapes the Representation of Visual Categories in the Aging Human Brain
■ The ability to make categorical decisions and interpret sensory experiences is critical for survival and interactions across the lifespan. However, little is known about the h...
Stephen D. Mayhew, Sheng Li, Joshua K. Storrar, Ka...