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Modeling the internet and the web : probabilistic methods and algorithms
{Pierre}
Baldi
and {Paolo}
Frasconi
and {Padhraic}
Smyth
(2003)
to
Internet
Mathematisches_Modell
Stochastisches_Modell
by
fbw
and
9 other people
on 2008-05-29 13:01:59
|
URL
|
BibTeX
Hidden Markov Models for Text Categorization in Multi-Page Documents
Paolo
Frasconi
and Giovanni
Soda
and Alessandro
Vullo
Journal of Intelligent Information Systems (JIIS)
18
195-217 ( 2002 )
to
imported
by
mgrani
and
2 other people
on 2008-05-27 08:15:25
|
URL
|
BibTeX
Declarative Kernels
P.
Frasconi
and A.
Passerini
and S.
Muggleton
and H.
Lodhi
(2004)
to
ilp
kernels
structured-data
by
sb3000
on 2008-05-16 16:42:41
|
BibTeX
Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines
Yuan
Yao
and Gian Luca
Marcialis
and Massimiliano
Pontil
and Paolo
Frasconi
and Fabio
Roli
Pattern Recognition
36
397-406 (2003)
to
imported
by
kdubiq
and
1 other person
on 2008-04-30 12:59:47
|
BibTeX
Learning with Kernels and Logical Representations.
Paolo
Frasconi
ILP
1-3 (2007)
to
dblp
by
dblp
on 2008-04-17 00:00:00
|
URL
|
BibTeX
On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways.
Alessandro
Vullo
and Andrea
Passerini
and Paolo
Frasconi
and Fabrizio
Costa
and Gianluca
Pollastri
EvoBIO
200-211 (2008)
to
dblp
by
dblp
on 2008-04-15 00:00:00
|
URL
|
BibTeX
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
Andrea
Passerini
and Paolo
Frasconi
and Luc {De
Raedt}
Journal of Machine Learning Research
7
307--342 (2006)
to
kernels
prolog
structured-data
by
sb3000
and
1 other person
on 2008-04-03 11:46:45
|
BibTeX
An Acknowledgment Driven Adaptive Link Control Approach for Applications in High Speed Wireless Communication Systems.
Francesco
Chiti
and Romano
Fantacci
and Mirko
Frasconi
and Mehdi
Nouri
IEEE Transactions on Wireless Communications
5
3588-3595 (2006)
to
dblp
by
dblp
on 2008-03-13 00:00:00
|
URL
|
BibTeX
Gradient flow in recurrent nets: the difficulty of learning long-term dependencies
S.
Hochreiter
and Y.
Bengio
and P.
Frasconi
and J.
Schmidhuber
A Field Guide to Dynamical Recurrent Neural Networks
(2001)
to
daanbib
by
idsia
and
1 other person
on 2008-03-11 14:52:34
|
BibTeX
Learning Long-Term Dependencies With Gradient Descent Is Difficult
Yoshua
Bengio
and Patrick
Simard
and Paolo
Frasconi
IEEE Transactions on Neural Networks
5
157--166 (1994)
to
nn
by
idsia
and
3 other people
on 2008-03-11 14:52:34
|
BibTeX
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