UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Comparing symptom reporting by prostate cancer patients and healthcare professionals in the international multicentre REQUITE study

Radiotherapy and oncology, 2023-01, Vol.178, p.109426-109426, Article 109426

2023

Volltextzugriff (PDF)

REQUITE: A prospective multicentre cohort study of patients undergoing radiotherapy for breast, lung or prostate cancer

Radiotherapy and oncology, 2019-09, Vol.138, p.59-67

2019

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Handbook of Ancient Nubia

Raue, Dietrich

1st edition., 2019

Volltextzugriff (PDF)

Noise Free Multi-armed Bandit Game

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

2016

Volltextzugriff (PDF)

XRCC1 Polymorphism Associated With Late Toxicity After Radiation Therapy in Breast Cancer Patients

International journal of radiation oncology, biology, physics, 2015-08, Vol.92 (5), p.1084-1092

2015

Volltextzugriff (PDF)

Combining initial segments of lists

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

2014

Volltextzugriff (PDF)

Detection of BRAF V600E mutations in skin metastases of malignant melanoma by monoclonal antibody VE1

Journal of the American Academy of Dermatology, 2012-09, Vol.67 (3), p.488-491

2012

Volltextzugriff (PDF)

Evolutionary learning of policies for MCTS simulations

Proceedings of the International Conference on the Foundations of Digital Games, 2012, p.212-219

2012

Volltextzugriff (PDF)

Combining Initial Segments of Lists

Algorithmic Learning Theory, 2011, p.219-233

2011

Volltextzugriff (PDF)

Learning Permutations with Exponential Weights

Learning Theory, 2007, Vol.4539, p.469-483

2007

Volltextzugriff (PDF)

Aerial Lidar Data Classification using AdaBoost

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

2007

Volltextzugriff (PDF)

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

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

2006

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data

Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06), 2006, p.192-199

2006

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Two processor scheduling is in NC

VLSI Algorithms and Architectures, 2005, p.12-25

2005

Volltextzugriff (PDF)

Gene-Expression Signatures in Breast Cancer

The New England journal of medicine, 2003-04, Vol.348 (17), p.1715-1717

2003

Volltextzugriff (PDF)

A geometric approach to leveraging weak learners

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

2002

Volltextzugriff (PDF)

Boosting Methods for Regression

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

2002

Volltextzugriff (PDF)

Ultraconservative Online Algorithms for Multiclass Problems

Computational Learning Theory, 2001, Vol.2111, p.99-115

2001

Volltextzugriff (PDF)

Data-Dependent Margin-Based Generalization Bounds for Classification

Computational Learning Theory, 2001, Vol.2111, p.368-384

2001

Volltextzugriff (PDF)

Smooth Boosting and Learning with Malicious Noise

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

2001

Volltextzugriff (PDF)

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

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

2001

Volltextzugriff (PDF)

On Boosting with Optimal Poly-Bounded Distributions

Computational Learning Theory, 2001, Vol.2111, p.490-506

2001

Volltextzugriff (PDF)

1 – 25 von 105

Suche als RSS-Feed

Aktive Filter

ThemaMathematics, Applied

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(77)
Mit Volltextzugriff
(101)

Publikationsform

Sprache

Englisch
(105)

Erscheinungsjahr

n.n

Menü

Weitere Dienste

Einstellungen

Comparing symptom reporting by prostate cancer patients and healthcare professionals in the international multicentre REQUITE study

REQUITE: A prospective multicentre cohort study of patients undergoing radiotherapy for breast, lung or prostate cancer

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

Handbook of Ancient Nubia

Noise Free Multi-armed Bandit Game

XRCC1 Polymorphism Associated With Late Toxicity After Radiation Therapy in Breast Cancer Patients

Combining initial segments of lists

Detection of BRAF V600E mutations in skin metastases of malignant melanoma by monoclonal antibody VE1

Evolutionary learning of policies for MCTS simulations

Combining Initial Segments of Lists

Learning Permutations with Exponential Weights

Aerial Lidar Data Classification using AdaBoost

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

Aerial LiDAR Data Classification Using Support Vector Machines (SVM)

A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data

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

Two processor scheduling is in NC

Gene-Expression Signatures in Breast Cancer

A geometric approach to leveraging weak learners

Boosting Methods for Regression

Ultraconservative Online Algorithms for Multiclass Problems

Data-Dependent Margin-Based Generalization Bounds for Classification

Smooth Boosting and Learning with Malicious Noise

Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

On Boosting with Optimal Poly-Bounded Distributions

Aktive Filter

Suchergebnisse filtern