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» An Instance Selection Approach to Multiple Instance Learning
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AIMSA
2008
Springer
15 years 4 months ago
Prototypes Based Relational Learning
Relational instance-based learning (RIBL) algorithms offer high prediction capabilities. However, they do not scale up well, specially in domains where there is a time bound for c...
Rocío García-Durán, Fernando ...
NLPRS
2001
Springer
15 years 2 months ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 3 days ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
ENTCS
2006
162views more  ENTCS 2006»
14 years 9 months ago
Adaptive Graph Pattern Matching for Model Transformations using Model-sensitive Search Plans
The current paper makes two contributions for the graph pattern matching problem of model transformation tools. First, model-sensitive search plan generation is proposed for patte...
Gergely Varró, Katalin Friedl, Dánie...
ACL
1998
14 years 11 months ago
A Procedure for Multi-Class Discrimination and some Linguistic Applications
The paper describes a novel computational tool for multiple concept learning. Unlike previous approaches, whose major goal is prediction on unseen instances rather than the legibi...
Vladimir Pericliev, Raúl E. Valdés-P...