Bridging the Gap Between Neural Network and Kernel Methods: Applications to Drug Discovery.
Pierre BaldiChloé-Agathe AzencottSanjay Joshua SwamidassPublished in: WIRN (2010)
Keyphrases
- kernel methods
- drug discovery
- neural network
- kernel function
- virtual screening
- pharmaceutical industry
- machine learning
- support vector
- feature space
- early stage
- support vector machine
- scientific data
- kernel matrix
- reproducing kernel hilbert space
- network model
- multiple kernel learning
- biological systems
- data mining
- systems biology
- training set
- real world
- knn
- knowledge discovery
- data sets
- graph kernels
- clustering algorithm