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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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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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A Generalized Representer Theorem

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

2001

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Boosting Methods for Regression

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

2002

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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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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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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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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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On-line prediction and conversion strategies

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

1996

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Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

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

2001

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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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Noise Free Multi-armed Bandit Game

Language and Automata Theory and Applications, 2016, Vol.9618, p.412-423

2016

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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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Combining Initial Segments of Lists

Algorithmic Learning Theory, 2011, p.219-233

2011

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Tracking drifting concepts by minimizing disagreements

Machine learning, 1994-01, Vol.14 (1), p.27-45

1994

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Determining possible event orders by analyzing sequential traces

IEEE transactions on parallel and distributed systems, 1993-07, Vol.4 (7), p.827-840

1993

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Learning Additive Models Online with Fast Evaluating Kernels

Computational Learning Theory, 2001, Vol.2111, p.444-460

2001

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Optimizing Average Reward Using Discounted Rewards

Computational Learning Theory, 2001, Vol.2111, p.605-615

2001

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Pattern Recognition and Density Estimation under the General i.i.d. Assumption

Computational Learning Theory, 2001, Vol.2111, p.337-353

2001

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Smooth Boosting and Learning with Malicious Noise

Computational Learning Theory, 2001, Vol.2111, p.473-489

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

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

A Generalized Representer Theorem

Boosting Methods for Regression

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

Debugging concurrent programs

Aerial Lidar Data Classification using AdaBoost

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

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

On-line prediction and conversion strategies

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

Aerial LiDAR Data Classification Using Support Vector Machines (SVM)

Noise Free Multi-armed Bandit Game

Discrete Prediction Games with Arbitrary Feedback and Loss

Combining Initial Segments of Lists

Tracking drifting concepts by minimizing disagreements

Determining possible event orders by analyzing sequential traces

Learning Additive Models Online with Fast Evaluating Kernels

Optimizing Average Reward Using Discounted Rewards

Pattern Recognition and Density Estimation under the General i.i.d. Assumption

Smooth Boosting and Learning with Malicious Noise

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