Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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(FIVE YEARS 43)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030461461, 9783030461478

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Non-parametric Bayesian Isotonic Calibration: Fighting Over-Confidence in Binary Classification

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_7 ◽

2020 ◽

pp. 103-120

Author(s):

Mari-Liis Allikivi ◽

Meelis Kull

Keyword(s):

Binary Classification ◽

Non Parametric

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Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_43 ◽

2020 ◽

pp. 711-726

Author(s):

Prashanth Vijayaraghavan ◽

Deb Roy

Keyword(s):

Black Box ◽

Text Classifiers ◽

Adversarial Examples

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Importance Weighted Generative Networks

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_15 ◽

2020 ◽

pp. 249-265

Author(s):

Maurice Diesendruck ◽

Ethan R. Elenberg ◽

Rajat Sen ◽

Guy W. Cole ◽

Sanjay Shakkottai ◽

...

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Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_5 ◽

2020 ◽

pp. 71-85

Author(s):

Jessa Bekker ◽

Pieter Robberechts ◽

Jesse Davis

Keyword(s):

Unlabeled Data

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Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_25 ◽

2020 ◽

pp. 415-431

Author(s):

Nico Piatkowski

Keyword(s):

Generative Modelling

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Exploiting the Earth’s Spherical Geometry to Geolocate Images

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_1 ◽

2020 ◽

pp. 3-19

Author(s):

Mike Izbicki ◽

Evangelos E. Papalexakis ◽

Vassilis J. Tsotras

Keyword(s):

Spherical Geometry

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$$L_0$$-ARM: Network Sparsification via Stochastic Binary Optimization

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_26 ◽

2020 ◽

pp. 432-448

Author(s):

Yang Li ◽

Shihao Ji

Keyword(s):

Binary Optimization ◽

Network Sparsification

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Incorporating Dependencies in Spectral Kernels for Gaussian Processes

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_34 ◽

2020 ◽

pp. 565-581

Author(s):

Kai Chen ◽

Twan van Laarhoven ◽

Jinsong Chen ◽

Elena Marchiori

Keyword(s):

Gaussian Processes

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SLSGD: Secure and Efficient Distributed On-device Machine Learning

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_13 ◽

2020 ◽

pp. 213-228

Author(s):

Cong Xie ◽

Oluwasanmi Koyejo ◽

Indranil Gupta

Keyword(s):

Machine Learning

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NSEEN: Neural Semantic Embedding for Entity Normalization

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-030-46147-8_40 ◽

2020 ◽

pp. 665-680

Author(s):

Shobeir Fakhraei ◽

Joel Mathew ◽

José Luis Ambite

Keyword(s):

Semantic Embedding

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Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Non-parametric Bayesian Isotonic Calibration: Fighting Over-Confidence in Binary Classification

Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model

Importance Weighted Generative Networks

Beyond the Selected Completely at Random Assumption for Learning from Positive and Unlabeled Data

Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees

Exploiting the Earth’s Spherical Geometry to Geolocate Images

$$L_0$$-ARM: Network Sparsification via Stochastic Binary Optimization

Incorporating Dependencies in Spectral Kernels for Gaussian Processes

SLSGD: Secure and Efficient Distributed On-device Machine Learning

NSEEN: Neural Semantic Embedding for Entity Normalization

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
Latest Publications