A constructive learning algorithm for an HME
By Kazumi Saito, Ryohei Nakano. 1996
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Eric Ronco
- Paul D. Gader
- Joseph N. Wilson
- Henrik Gollee
- Seniha Esen Yüksel
- Juan Shen
- William Fedus
- Xiaobin Chang
Citations in the corpus
- Modular Neural Networks and Self-Decomposition (1997, background): “For instance to incremental structure the network lead tosome very e cient decomposition of one input space (see for examples (Platt1991) (Murray-Smith and Gollee 1994) (Gollee et al. 1996) (Ronco et al. 1996a)(Ronco et al. 1996b)).”
- Twenty Years of Mixture of Experts (2012, background): “To this end, the studies that aim to arrive at the optimal structure of the tree can be divided into four main categories as follows: growing models [2], [65], [66]; pruning models [49], [67], [68]; exhaustive search [45]; and Bayesian models [10], [18], [54], [69].”