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Methodology
← Core Methods
Machine Learning
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Core Methods
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Regression
4964 directly classified papers
Papers per year
2000: 1
2001: 4
2002: 2
2003: 3
2004: 2
2005: 7
2006: 27
2007: 38
2008: 49
2009: 58
2010: 72
2011: 62
2012: 74
2013: 122
2014: 120
2015: 146
2016: 232
2017: 276
2018: 313
2019: 414
2020: 509
2021: 564
2022: 506
2023: 492
2024: 488
2025: 262
2026: 121
Papers
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
JMLR 2017
Approximation Vector Machines for Large-scale Online Learning
JMLR 2017
Regularized Estimation and Testing for High-Dimensional Multi-Block Vector-Autoregressive Models
JMLR 2017
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network
JMLR 2017
Kernel Partial Least Squares for Stationary Data
JMLR 2017
Gap Safe Screening Rules for Sparsity Enforcing Penalties
JMLR 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
JMLR 2017
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
CONLL 2017
Nature of Contrast and Coarticulation: Evidence from Mizo Tones and Assamese Vowel Harmony
INTERSPEECH 2017
An HMM/DNN Comparison for Synchronized Text-to-Speech and Tongue Motion Synthesis
INTERSPEECH 2017
Learning the Mapping Function from Voltage Amplitudes to Sensor Positions in 3D-EMA Using Deep Neural Networks
INTERSPEECH 2017
Jointly Predicting Arousal, Valence and Dominance with Multi-Task Learning
INTERSPEECH 2017
A Hierarchical Encoder-Decoder Model for Statistical Parametric Speech Synthesis
INTERSPEECH 2017
A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation
INTERSPEECH 2017
Ideal Ratio Mask Estimation Using Deep Neural Networks for Monaural Speech Segregation in Noisy Reverberant Conditions
INTERSPEECH 2017
On the Influence of Modifying Magnitude and Phase Spectrum to Enhance Noisy Speech Signals
INTERSPEECH 2017
An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks
INTERSPEECH 2017
Effects of Training Data Variety in Generating Glottal Pulses from Acoustic Features with DNNs
INTERSPEECH 2017
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction
INTERSPEECH 2017
Waveform Modeling Using Stacked Dilated Convolutional Neural Networks for Speech Bandwidth Extension
INTERSPEECH 2017
A Fully Convolutional Neural Network for Speech Enhancement
INTERSPEECH 2017
DNN-Based Ultrasound-to-Speech Conversion for a Silent Speech Interface
INTERSPEECH 2017
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact
CORL 2017
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation
ICML 2017
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
ICML 2017
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