Abstract. This paper builds on a previous work in which an HTN planner is used to obtain learning routes expressed in the standard language IMS-LD and its main contribution is the ...
Lluvia Morales, Luis A. Castillo, Juan Ferná...
This article describes a parallel and distributed machine learning approach to a basic variant of the job assignment problem. The approach is in the line of the multiagent learning...
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Traditionally, class periods have meant that students listen to a professor lecture for about an hour. Cooperative learning can replace some of that lecture time with methods desi...