Sciweavers

36 search results - page 3 / 8
» Gradient-based boosting for statistical relational learning:...
Sort
View
NN
1998
Springer
13 years 5 months ago
Statistical estimation of the number of hidden units for feedforward neural networks
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
Osamu Fujita
ISCAS
1999
IEEE
100views Hardware» more  ISCAS 1999»
13 years 10 months ago
The state space framework for blind dynamic signal extraction and recovery
The paper describes a framework in the form of an optimization of a performance index subject to the constraints of a dynamic network, represented in the state space. The performa...
Fathi M. A. Salam, Gail Erten
NECO
2007
150views more  NECO 2007»
13 years 5 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
13 years 7 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson
TIFS
2008
102views more  TIFS 2008»
13 years 5 months ago
Use of Identification Trial Statistics for the Combination of Biometric Matchers
Combination functions typically used in biometric identification systems consider as input parameters only those matching scores which are related to a single person in order to de...
Sergey Tulyakov, Venu Govindaraju