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» The Inefficiency of Batch Training for Large Training Sets
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CVPR
2007
IEEE
14 years 3 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
RECSYS
2009
ACM
14 years 1 months ago
iTag: a personalized blog tagger
We present iTag, a personalized tag recommendation system for blogs. iTag improves on the state-of-the-art in tag recommendation systems in two ways. First, iTag has much higher p...
Michael Hart, Rob Johnson, Amanda Stent
IAAI
2003
13 years 10 months ago
Guided Conversations about Leadership: Mentoring with Movies and Interactive Characters
Think Like a Commander – Excellence in Leadership (TLAC-XL) is an application designed for learning leadership skills both from the experiences of others and through a structure...
Randall W. Hill Jr., Jay Douglas, Andrew Gordon, F...
NIPS
2001
13 years 10 months ago
K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Guided by an initial idea of building a complex (non linear) decision surface with maximal local margin in input space, we give a possible geometrical intuition as to why K-Neares...
Pascal Vincent, Yoshua Bengio
PAMI
2008
155views more  PAMI 2008»
13 years 8 months ago
Subclass Problem-Dependent Design for Error-Correcting Output Codes
A common way to model multiclass classification problems is by means of Error-Correcting Output Codes (ECOCs). Given a multiclass problem, the ECOC technique designs a code word fo...
Sergio Escalera, David M. J. Tax, Oriol Pujol, Pet...