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» A Review of Relational Machine Learning for Knowledge Graphs
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ISBI
2007
IEEE
14 years 5 months ago
Grafip: A Framework for the Representation of Healthy and Pathological Cerebral Information
This paper presents a contribution to the large problematic of integrating medical image-based information into a structured framework (such as electronic patient records or anato...
Jamal Atif, Céline Hudelot, Olivier Nempont...
ICML
2006
IEEE
14 years 11 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth
AAAI
2007
14 years 1 months ago
Recognizing Textual Entailment Using a Subsequence Kernel Method
We present a novel approach to recognizing Textual nt. Structural features are constructed from abstract tree descriptions, which are automatically extracted from syntactic depend...
Rui Wang 0005, Günter Neumann
CVPR
2011
IEEE
13 years 7 months ago
Hyper-graph Matching via Reweighted Random Walks
Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as g...
Jungmin Lee (Seoul National University), Minsu Cho...
ICML
2008
IEEE
14 years 11 months ago
Training structural SVMs when exact inference is intractable
While discriminative training (e.g., CRF, structural SVM) holds much promise for machine translation, image segmentation, and clustering, the complex inference these applications ...
Thomas Finley, Thorsten Joachims