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NIPS
1996
13 years 11 months ago
Solving the Ill-Conditioning in Neural Network Learning
Abstract. In this paper we investigate the feed-forward learning problem. The well-known ill-conditioning which is present in most feed-forward learning problems is shown to be the...
P. Patrick van der Smagt, Gerd Hirzinger
WINE
2007
Springer
151views Economy» more  WINE 2007»
14 years 4 months ago
Computing Optimal Bundles for Sponsored Search
A context in sponsored search is additional information about a query, such as the user’s age, gender or location, that can change an advertisement’s relevance or an advertise...
Arpita Ghosh, Hamid Nazerzadeh, Mukund Sundararaja...
TON
2008
98views more  TON 2008»
13 years 10 months ago
A unified framework for multipath routing for unicast and multicast traffic
We study the problem of load balancing the traffic from a set of unicast and multicast sessions. The problem is formulated as an optimization problem. However, we assume that the g...
Tuna Güven, Richard J. La, Mark A. Shayman, B...
CDC
2009
IEEE
128views Control Systems» more  CDC 2009»
14 years 2 months ago
The entropy penalized minimum energy estimator
This paper addresses the state estimation problem of nonlinear systems. We formulate the problem using a minimum energy estimator (MEE) approach and propose an entropy penalized sc...
Sergio Daniel Pequito, A. Pedro Aguiar, Diogo A. G...
NIPS
2008
13 years 11 months ago
Multi-label Multiple Kernel Learning
We present a multi-label multiple kernel learning (MKL) formulation in which the data are embedded into a low-dimensional space directed by the instancelabel correlations encoded ...
Shuiwang Ji, Liang Sun, Rong Jin, Jieping Ye