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INTERSPEECH
2010
13 years 3 months ago
Context adaptive training with factorized decision trees for HMM-based speech synthesis
To achieve natural high quality synthesised speech in HMMbased speech synthesis, the effective modelling of complex acoustic and linguistic contexts is critical. Traditional appro...
Kai Yu, Heiga Zen, François Mairesse, Steve...
ICCV
2011
IEEE
12 years 8 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
ICML
2007
IEEE
14 years 9 months ago
Sample compression bounds for decision trees
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
Mohak Shah
ICML
1996
IEEE
14 years 27 days ago
Second Tier for Decision Trees
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...
Miroslav Kubat
CORR
2010
Springer
72views Education» more  CORR 2010»
13 years 8 months ago
Porting Decision Tree Algorithms to Multicore using FastFlow
The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine ...
Marco Aldinucci, Salvatore Ruggieri, Massimo Torqu...