This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
This paper deals with the problem of scheduling aperiodic groups of tasks in distributed systems. It proposes two contributions, namely: i) a distributed scheduling algorithm to b...
Paolo Bizzarri, Andrea Bondavalli, Felicita Di Gia...
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
A k-hop dominating set is a subset of nodes such that each node not in the set can be reached within k hops from at least one node in the set. A connected k-hop dominating set can ...
With the technical advances in ubiquitous computing and wireless networking, there has been an increasing need to capture the context information (such as the location) and to figu...
Hyuk Lim, Lu-Chuan Kung, Jennifer C. Hou, Haiyun L...