Sciweavers

2440 search results - page 123 / 488
» Learn .MT: A New Approach to Incremental Learning
Sort
View
ILP
2004
Springer
16 years 3 days ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid
ECML
2005
Springer
16 years 8 days ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 11 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
ICML
1989
IEEE
15 years 10 months ago
Constructive Induction by Analogy
The available concept-learners only partially fulfill the needs imposed by the learning apprentice generation of learners. We present a novel approach to interactive concept-learni...
Luc De Raedt, Maurice Bruynooghe
PPSN
2004
Springer
16 years 2 days ago
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
Kees Jong, Elena Marchiori, Michèle Sebag