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ICML
2004
IEEE
14 years 11 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
WWW
2003
ACM
14 years 11 months ago
eduSource: Interoperable Network of Learning Object Repositories
In this paper, we describe the approach to achieve a high level of interoperability in the eduSource. The eduSource project is a panCanadian collaborative project to create a test...
Marek Hatala, Griff Richards
ISOLA
2010
Springer
13 years 9 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
ML
2010
ACM
124views Machine Learning» more  ML 2010»
13 years 9 months ago
Large scale image annotation: learning to rank with joint word-image embeddings
Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method tha...
Jason Weston, Samy Bengio, Nicolas Usunier
ICML
2009
IEEE
14 years 5 months ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho