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JMLR
2012
13 years 9 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
EWCBR
2000
Springer
15 years 10 months ago
Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...
Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Danie...
AIPS
2008
15 years 9 months ago
An Online Learning Method for Improving Over-Subscription Planning
Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we invest...
Sung Wook Yoon, J. Benton, Subbarao Kambhampati
AAAI
2010
15 years 8 months ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
EMNLP
2008
15 years 8 months ago
Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
Ananlada Chotimongkol, Alexander I. Rudnicky