Bumptrees for Efficient Function, Constraint and Classification Learning
–Neural Information Processing Systems
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. An empirical comparison with radial basis functions is presented on a robot ann mapping learning task.
Neural Information Processing Systems
Dec-31-1991