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» Learning Classifiers from Semantically Heterogeneous Data
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EMNLP
2009
13 years 8 months ago
Graph Alignment for Semi-Supervised Semantic Role Labeling
Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
Hagen Fürstenau, Mirella Lapata
TASLP
2008
124views more  TASLP 2008»
13 years 10 months ago
Semantic Annotation and Retrieval of Music and Sound Effects
We present a computer audition system that can both annotate novel audio tracks with semantically meaningful words and retrieve relevant tracks from a database of unlabeled audio c...
Douglas Turnbull, Luke Barrington, D. Torres, Gert...
JMLR
2010
119views more  JMLR 2010»
13 years 5 months ago
The Coding Divergence for Measuring the Complexity of Separating Two Sets
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
Mahito Sugiyama, Akihiro Yamamoto
IHIS
2005
ACM
14 years 3 months ago
An architecture for the interoperability of workflow models
The goal of this work is to contribute to the field of interoperability of Workflow models. To achieve this interoperability, we have built a generic architecture that s three lev...
Salah Hamri, Mahmoud Boufaïda, Nacer Boudjlid...
NIPS
2008
13 years 11 months ago
Multi-Level Active Prediction of Useful Image Annotations for Recognition
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...
Sudheendra Vijayanarasimhan, Kristen Grauman