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Regression

4964 directly classified papers

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Papers

GAP Safe Screening Rules for Sparse-Group Lasso NIPS 2016
Input-Output Non-Linear Dynamical Systems applied to Physiological Condition Monitoring MLHC 2016
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016
gLOP: the global and Local Penalty for Capturing Predictive Heterogeneity MLHC 2016
A Template-Based Approach for Speech Synthesis Intonation Generation Using LSTMs INTERSPEECH 2016
A Deep Learning Approach to Modeling Empathy in Addiction Counseling INTERSPEECH 2016
Automatic Measurement of Voice Onset Time and Prevoicing Using Recurrent Neural Networks INTERSPEECH 2016
Causal Speech Enhancement Combining Data-Driven Learning and Suppression Rule Estimation INTERSPEECH 2016
Minimization of Regression and Ranking Losses with Shallow Neural Networks on Automatic Sincerity Evaluation INTERSPEECH 2016
Estimating the Sincerity of Apologies in Speech by DNN Rank Learning and Prosodic Analysis INTERSPEECH 2016
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators INTERSPEECH 2016
Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System Using Deep Recurrent Neural Networks INTERSPEECH 2016
A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks INTERSPEECH 2016
Voice Conversion Based on Trajectory Model Training of Neural Networks Considering Global Variance INTERSPEECH 2016
Predicting Pronunciations with Syllabification and Stress with Recurrent Neural Networks INTERSPEECH 2016
Fast Algorithms for Segmented Regression ICML 2016
Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity ICML 2016
Efficient Computation of Gaussian Process Regression for Large Spatial Data Sets by Patching Local Gaussian Processes JMLR 2016
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels JMLR 2016
Principal Component Projection Without Principal Component Analysis ICML 2016
Heteroscedastic Sequences: Beyond Gaussianity ICML 2016
Regression Methods Applied to Flight Variables for Situational Awareness Estimation Using Dynamic Bayesian Networks PGM 2016
A Practical Scheme and Fast Algorithm to Tune the Lasso With Optimality Guarantees JMLR 2016
Modelling Interactions in High-dimensional Data with Backtracking JMLR 2016
Guarding against Spurious Discoveries in High Dimensions JMLR 2016