Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
Existing sequence mining algorithms mostly focus on mining for subsequences. However, a large class of applications, such as biological DNA and protein motif mining, require effici...
In light of advances in processor and networking technology, especially the emergence of network attached disks, the traditional client-server architecture becomes suboptimal for ...
Jiong Yang, Silvia Nittel, Wei Wang 0010, Richard ...
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Abstract. The correctness of a system according to a given specification is essential, especially for safety-critical applications. One such typical application domain is the autom...
Jewgenij Botaschanjan, Alexander Gruler, Alexander...