An empirical comparison of learning algorithms for nonparametric scoring: the TreeRank algorithm and other methods.
Stéphan ClémençonMarine DepeckerNicolas VayatisPublished in: Pattern Anal. Appl. (2013)
Keyphrases
- learning algorithm
- significant improvement
- synthetic and real images
- preprocessing
- computational cost
- detection algorithm
- noisy data
- synthetic and real datasets
- np hard
- objective function
- active learning
- kernel density estimation
- density estimation
- batch mode
- dynamic programming
- search space
- iterative algorithms
- computational complexity
- inductive learning algorithms
- synthetic datasets
- kernel density
- machine learning
- learning problems
- clustering method
- particle swarm optimization
- data mining techniques
- multi class
- k means
- optimal solution
- reinforcement learning