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» A Review of Relational Machine Learning for Knowledge Graphs
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136
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ALT
2007
Springer
16 years 14 days ago
Learning and Verifying Graphs Using Queries with a Focus on Edge Counting
We consider the problem of learning and verifying hidden graphs and their properties given query access to the graphs. We analyze various queries (edge detection, edge counting, sh...
Lev Reyzin, Nikhil Srivastava
251
Voted
ALT
2011
Springer
14 years 3 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
135
Voted
AAAI
1998
15 years 4 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...
ICML
2004
IEEE
16 years 4 months ago
Relational sequential inference with reliable observations
We present a trainable sequential-inference technique for processes with large state and observation spaces and relational structure. Our method assumes "reliable observation...
Alan Fern, Robert Givan
AIED
2009
Springer
15 years 10 months ago
Intelligent Support for Inquiry Learning from Images: A Learning Scenario and Tool
Inquiry learning involves the learner acquiring new concepts and skills by means of carrying out an investigation. Some previous studies have looked into how these learning activit...
Paul Mulholland, Zdenek Zdráhal, Jan Abraha...