decision tree

Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees Interspeech 2019 Alternating optimization of decision trees, with application to learning sparse oblique trees NeurIPS 2018 Binary Partitions with Approximate Minimum Impurity ICML 2018 Classification of Correction Turns in Multilingual Dialogue Corpus Interspeech 2018 Detecting Packet-Loss Concealment Using Formant Features and Decision Tree Learning Interspeech 2018 Finding Optimal Bayesian Networks with Local Structure PGM 2018 Hyperparameter optimization: a spectral approach ICLR 2018 Learning Certifiably Optimal Rule Lists for Categorical Data JMLR 2018 Learning Decision Trees with Stochastic Linear Classifiers ALT 2018 Learning from discriminative feature feedback NeurIPS 2018 Learning Neural Parsers with Deterministic Differentiable Imitation Learning CoRL 2018 Learning Optimal Decision Trees with SAT IJCAI 2018 PAC-Bayes Tree: weighted subtrees with guarantees NeurIPS 2018 Random Forests, Decision Trees, and Categorical Predictors: The "Absent Levels" Problem JMLR 2018 To Tune or Not to Tune the Number of Trees in Random Forest JMLR 2018 When do random forests fail? NeurIPS 2018 A Comparative Evaluation of GMM-Free State Tying Methods for ASR Interspeech 2017 Enumerating Distinct Decision Trees ICML 2017 Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017 Lifelong Learning in Costly Feature Spaces ALT 2017 LightGBM: A Highly Efficient Gradient Boosting Decision Tree NeurIPS 2017 Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017 Maximum Margin Interval Trees NeurIPS 2017 Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things ICML 2017 Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection CVPR 2017