ALT
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. We propose a method of unsupervised learning from stationary, vector-valued processes. A low-dimensional subspace is selected on the basis of a criterion which rewards da...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
ALT
2006
Springer
14 years 8 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. The present study aims at insights into the nature of incremental learning in the context of Gold’s model of identification in the limit. With a focus on natural requi...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
Consider an agent interacting with an environment in cycles. In every interaction cycle the agent is rewarded for its performance. We compare the average reward U from cycle 1 to ...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
ALT
2006
Springer
14 years 8 months ago
2006
Springer
e-Science is scientific investigation performed through distributed global collaborations between scientists and their resources, and the computing infrastructure that enables this...