Titlebook: Artificial Neural Networks - ICANN 2008; 18th International C Véra Kůrková,Roman Neruda,Jan Koutník Conference proceedings 2008 Springer-Ve

宫殿般

Radiazione ambientale naturale, the fact that the MACs come for free as these are FPGA’s built-in cores. The hardware is as fast as existing ones as it is massively parallel. Besides, the proposed hardware can adjust itself on-the-fly to the user-defined topology of the neural network, with no extra configuration, which is a very

BATE

A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasetsombines the low-bias relevance estimator with state-of-the-art relevance estimators in order to enhance their accuracy. The experimental validation on 20 publicly available cancer expression datasets shows the robustness of a selection approach which is not biased by a specific learner.

松果

Ordeal

QUAIL

Investigating Similarity of Ontology Instances and Its Causesge information spaces. It is based on the assumption that comparing attributes of documents which were found interesting for a user can be a source for discovering information about user’s interests. We consider applications for the Semantic Web where documents or their parts are represented by onto

Keratectomy

A Neural Model for Delay Correction in a Distributed Control Systemn some distributed control systems it is possible to know, at control time, the value of the delay. The work reported in this paper proposes to build a model of the behavior of the system in the presence of the variable delay and to use this model to compensate the control signal in order to avoid t

chondromalacia

A Model-Based Relevance Estimation Approach for Feature Selection in Microarray Datasetsproaches to feature selection are generally denoted as wrappers. Wrapper methods assess subsets of variables according to their usefulness to a given prediction model which will be eventually used for classification. This strategy assumes that the accuracy of the model used for the wrapper selection