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Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks

Neural computation, 2019-03, Vol.31 (3), p.477-502

2019

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Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, the Netherlands, July 16-19, 2001, Proceedings

2001 edition., 2001

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Mistake bounds on the noise-free multi-armed bandit game

Information and computation, 2019-12, Vol.269, p.104453, Article 104453

2019

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How to use expert advice

Journal of the ACM, 1997-05, Vol.44 (3), p.427-485

1997

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On-Line Portfolio Selection Using Multiplicative Updates

Mathematical finance, 1998-10, Vol.8 (4), p.325-347

1998

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Predicting Nearly As Well As the Best Pruning of a Decision Tree

Machine learning, 1997, Vol.27 (1), p.51-68

1997

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Adaptive disk spin-down for mobile computers

Mobile networks and applications, 2000-12, Vol.5 (4), p.285-297

2000

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Boosting Methods for Regression

Machine learning, 2002-05, Vol.47 (2-3), p.153-200

2002

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A Generalized Representer Theorem

Computational Learning Theory, 2001, Vol.2111, p.416-426

2001

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Modeling, analyzing, and synthesizing expressive piano performance with graphical models

Machine learning, 2006-12, Vol.65 (2-3), p.361-387

2006

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Debugging concurrent programs

ACM computing surveys, 1989-12, Vol.21 (4), p.593-622

1989

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Apple tasting

Information and computation, 2000, Vol.161 (2), p.85-139

2000

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Combining initial segments of lists

Theoretical computer science, 2014-01, Vol.519, p.29-45

2014

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Aerial Lidar Data Classification using AdaBoost

Sixth International Conference on 3-D Digital Imaging and Modeling (3DIM 2007), 2007, p.435-442

2007

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IEEE_Xplore

A Comparison of New and Old Algorithms for a Mixture Estimation Problem

Machine learning, 1997, Vol.27 (1), p.97-119

1997

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Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach

Information and computation, 2001-05, Vol.166 (2), p.133-155

2001

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Modeling, analyzing, and synthesizing expressive piano performance with graphical models: Special issue on machine learning in and for music

Machine learning, 2006, Vol.65 (2-3), p.361-387

2006

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Noise Free Multi-armed Bandit Game

Language and Automata Theory and Applications, p.412-423

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On-line prediction and conversion strategies

Machine learning, 1996, Vol.25 (1), p.71-110

1996

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On-line learning with linear loss constraints

Information and computation, 2000, Vol.161 (2), p.140-171

2000

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Aerial LiDAR Data Classification Using Support Vector Machines (SVM)

Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006, p.567-574

2006

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IEEE_Xplore

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

Computational Learning Theory, 2001, Vol.2111, p.224-240

2001

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A geometric approach to leveraging weak learners

Theoretical computer science, 2002-07, Vol.284 (1), p.67-108

2002

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Combining Initial Segments of Lists

Algorithmic Learning Theory, p.219-233

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Discrete Prediction Games with Arbitrary Feedback and Loss

Computational Learning Theory, 2001, Vol.2111, p.208-223

2001

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Gradient Descent with Identity Initialization Efficiently Learns Positive-Definite Linear Transformations by Deep Residual Networks

Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, the Netherlands, July 16-19, 2001, Proceedings

Mistake bounds on the noise-free multi-armed bandit game

How to use expert advice

On-Line Portfolio Selection Using Multiplicative Updates

Predicting Nearly As Well As the Best Pruning of a Decision Tree

Adaptive disk spin-down for mobile computers

Boosting Methods for Regression

A Generalized Representer Theorem

Modeling, analyzing, and synthesizing expressive piano performance with graphical models

Debugging concurrent programs

Apple tasting

Combining initial segments of lists

Aerial Lidar Data Classification using AdaBoost

A Comparison of New and Old Algorithms for a Mixture Estimation Problem

Improved Lower Bounds for Learning from Noisy Examples: An Information-Theoretic Approach

Modeling, analyzing, and synthesizing expressive piano performance with graphical models: Special issue on machine learning in and for music

Noise Free Multi-armed Bandit Game

On-line prediction and conversion strategies

On-line learning with linear loss constraints

Aerial LiDAR Data Classification Using Support Vector Machines (SVM)

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

A geometric approach to leveraging weak learners

Combining Initial Segments of Lists

Discrete Prediction Games with Arbitrary Feedback and Loss

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