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JMLR
2010
151views more  JMLR 2010»
14 years 4 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio
78
Voted
BIRTHDAY
2010
Springer
14 years 10 months ago
Thirteen Definitions of a Stable Model
Stable models of logic programs have been studied by many researchers, mainly because of their role in the foundations of answer set programming. This is a review of some of the de...
Vladimir Lifschitz
ICIP
2005
IEEE
15 years 11 months ago
Quantifying the coding power of zerotrees of wavelet coefficients: a degree-k zerotree model
A degree-k zerotree model is presented, in order to quantify the coding power of zerotrees in wavelet-based image coding. Based on the model, the coding behaviors of modern zerotr...
Yushin Cho, William A. Pearlman
IJCNN
2000
IEEE
15 years 1 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
NIPS
2001
14 years 11 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