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» An Instance Selection Approach to Multiple Instance Learning
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AIMSA
2008
Springer
14 years 3 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
14 years 1 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»
11 years 11 months 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»
13 years 8 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
13 years 10 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...