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Regression

5,004 papers

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Papers

Phone-Attribute Posteriors to Evaluate the Speech of Cochlear Implant Users INTERSPEECH 2019
Progressive Speech Enhancement with Residual Connections INTERSPEECH 2019
Development of Emotion Rankers Based on Intended and Perceived Emotion Labels INTERSPEECH 2019
An Acoustic and Lexical Analysis of Emotional Valence in Spontaneous Speech: Autobiographical Memory Recall in Older Adults INTERSPEECH 2019
Quality Degradation Diagnosis for Voice Networks — Estimating the Perceived Noisiness, Coloration, and Discontinuity of Transmitted Speech INTERSPEECH 2019
A Phonetic-Level Analysis of Different Input Features for Articulatory Inversion INTERSPEECH 2019
Reduced Task Adaptation in Alternating Motion Rate Tasks as an Early Marker of Bulbar Involvement in Amyotrophic Lateral Sclerosis INTERSPEECH 2019
Automatic Depression Level Detection via ℓp-Norm Pooling INTERSPEECH 2019
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space JMLR 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019
Scalable Approximations for Generalized Linear Problems JMLR 2019
Graphical Lasso and Thresholding: Equivalence and Closed-form Solutions JMLR 2019
Multiplicative local linear hazard estimation and best one-sided cross-validation JMLR 2019
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression JMLR 2019
Semi-Analytic Resampling in Lasso JMLR 2019
Prediction Risk for the Horseshoe Regression JMLR 2019
Model Selection via the VC Dimension JMLR 2019
Dependent relevance determination for smooth and structured sparse regression JMLR 2019
High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression JMLR 2019
Relative Error Bound Analysis for Nuclear Norm Regularized Matrix Completion JMLR 2019
Low Permutation-rank Matrices: Structural Properties and Noisy Completion JMLR 2019
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method JMLR 2019
Scalable Interpretable Multi-Response Regression via SEED JMLR 2019
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019
Binarsity: a penalization for one-hot encoded features in linear supervised learning JMLR 2019