385 search results - page 46 / 77 » On higher-order perceptron algorithms |
112
Voted
ICML
1995
IEEE
16 years 1 months ago
1995
IEEE
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
131
Voted
ML
2007
ACM
15 years 3 days ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
TNN
2008
15 years 15 days ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
95
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
78
Voted
ISNN
2004
Springer
15 years 6 months ago
2004
Springer
A reliable correlation between rainfall-runoff enables the local authority to gain more amble time for formulation of appropriate decision making, issuance of an advanced flood for...