A deterministic algorithm that emulates learning with random weights.
Vicente Ruiz de AnguloCarme TorrasPublished in: Neurocomputing (2002)
Keyphrases
- learning algorithm
- preprocessing
- dynamic programming
- times faster
- experimental evaluation
- significant improvement
- optimization algorithm
- learning phase
- incremental learning
- np hard
- reinforcement learning
- learning speed
- input data
- learning scheme
- weighted average
- convergence rate
- detection algorithm
- weight update
- theoretical analysis
- probabilistic model
- prior knowledge
- segmentation algorithm
- online learning
- worst case
- cost function
- search space
- optimal solution
- statistical queries
- similarity measure
- noise tolerant
- randomized algorithms
- relaxation algorithm
- genetic algorithm