The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces
The parti-game algorithm for variable resolution reinforcement learning in multidimensional state-spaces
An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts
An integration of rule induction and exemplar-based learning for graded concepts
Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension
Sample compression, learnability, and the Vapnik-Chervonenkis dimension
Introduction
Introduction
Genetic Algorithms, Operators, and DNA Fragment Assembly
Genetic algorithms, operators, and DNA fragment assembly
Discovering Dependencies via Algorithmic Mutual Information: A Case Study in DNA Sequence Comparisons
Discovering dependencies via algorithmic mutual information: A case study in DNA sequence comparisons
Unsupervised learning of multiple motifs in biopolymers using expectation maximization
Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization
DEXTER: A system that experiments with choices of training data using expert knowledge in the domain of DNA hydration
DEXTER: A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration
Use of adaptive networks to define highly predictable protein secondary-structure classes
Use of Adaptive Networks to Define Highly Predictable Protein Secondary–Structure Classes
Machine discovery of protein motifs
Machine Discovery of Protein Motifs
Searching for Representations to Improve Protein Sequence Fold-Class Prediction
Searching for representations to improve protein sequence fold-class prediction
Neural networks for full-scale protein sequence classification: Sequence encoding with singular value decomposition
Neural Networks for Full-Scale Protein Sequence Classification: Sequence Encoding with Singular Value Decomposition