1 |
Bagging Predictors
/
[
L.Breiman
] /
Machine Learning
|
2 |
/
[
L.Breiman;J.H.Friedman;R.A.Olshen;C.J.Stone
] /
Classification and Regression Trees ser. Wadsworth Statistics/Probability Series
|
3 |
Unsupervised training of phone duration and energy models for text-to-speech synthesis
/
[
P.C.Bagshaw
] /
Porc. Int. Conf. Spoken Language Processing
|
4 |
Optimal partitioning for classification and regression trees
/
[
P.A.Chou
] /
IEEE Trans. Pattern Anal. Machine Intell.
DOI
ScienceOn
|
5 |
/
[
L.Breiman
] /
Out-of-Bag Estimation
|
6 |
Energy contour generation for a sentence using a neural network learning method
/
[
J.C.Lee;D.G.Kang;S.H.Kim;K.M.Sung
] /
Proc. Int. Conf. Spoken Language Processing
|
7 |
A dynamical system model for generating fundamental frequency for speech synthesis
/
[
K.Ross;M.Ostendorf
] /
IEEE Trans. Speech Audio Processing
DOI
ScienceOn
|
8 |
/
[
L.Breiman;N.Shang
] /
Born Again Trees
|
9 |
한국어 억양의 트리 기반 모델링
/
[
이상호;오영환
] /
한국음향학회지
|