ALT
2004
Springer
14 years 4 months ago
2004
Springer
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of complexity/current loss renders the analys...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
ALT
2004
Springer
14 years 4 months ago
2004
Springer
We consider a two-layer network algorithm. The first layer consists of an uncountable number of linear units. Each linear unit is an LMS algorithm whose inputs are first “kerne...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
We investigate further improvement of boosting in the case that the target concept belongs to the class of r-of-k threshold Boolean functions, which answer “+1” if at least r o...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
A revision algorithm is a learning algorithm that identifies the target concept, starting from an initial concept. Such an algorithm is considered efficient if its complexity (in ...
ALT
2004
Springer
14 years 4 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
ALT
2004
Springer
14 years 4 months ago
2004
Springer