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← Knowledge & Reasoning
Knowledge & Reasoning ›

Representation

1,906 papers (7 classified directly here)

Subtopics

Knowledge Graphs (1,545) Knowledge Representation (363) Ontology Learning (61)

Papers per year

7
2
193
288
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Papers (including subtopics)

Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NIPS 2011
See the Tree Through the Lines: The Shazoo Algorithm NIPS 2011
Advice Refinement in Knowledge-Based SVMs NIPS 2011
Kernel Embeddings of Latent Tree Graphical Models NIPS 2011
Learning Rules from Incomplete Examples via Implicit Mention Models ACML 2011
Relational Learning with One Network: An Asymptotic Analysis AISTATS 2011
Link Discovery using Graph Feature Tracking NIPS 2010
More data means less inference: A pseudo-max approach to structured learning NIPS 2010
Lifted Inference Seen from the Other Side : The Tractable Features NIPS 2010
Learning concept graphs from text with stick-breaking priors NIPS 2010
Learning Networks of Stochastic Differential Equations NIPS 2010
On the Convexity of Latent Social Network Inference NIPS 2010
Bayesian structure discovery in Bayesian networks with less space AISTATS 2010
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
Abstraction and Relational learning NIPS 2009
Bayesian Sparse Factor Models and DAGs Inference and Comparison NIPS 2009
Supervised Bipartite Graph Inference NIPS 2008
Online Prediction on Large Diameter Graphs NIPS 2008
Partially Observed Maximum Entropy Discrimination Markov Networks NIPS 2008
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008
Hidden Common Cause Relations in Relational Learning NIPS 2007
Learning and using relational theories NIPS 2007
Gaussian Process Models for Link Analysis and Transfer Learning NIPS 2007
Bayesian Model Scoring in Markov Random Fields NIPS 2006