optimal predictor is a polynomial of the inputs. If the kernel of the SVM has sufficiently high order or is transcendental …, the scale of the learning curve and the asymptote is determined by the target rule and does not depend on the kernel. On …

technologies have been developed for price forecasting. The SVM (Support Vector Machine) has shown its good performance in market … price forecasting. Two approaches for forming the market bidding strategies based on SVM are proposed. One is based on the …

crackles and to calculate the portion of crackles during late inspiration. Support vector machine (SVM) based on the HHT … appeared during the late inspiration. The discrimination results obtained from SVM achieved a concordance rate up to 92 …

numerically investigated robustness of cooperation by introducing an attack probability, with which an individual in cooperation …

Robustness of weighted complex networks is analyzed from nonlinear dynamical point of view and with focus on different … robustness analysis. We also find that with random inactivation, heterogeneous networks are always more robust than the … integrated picture for the dynamical robustness analysis on complex networks. …

, the impact of the topology on grid robustness is mainly assessed by purely topological approaches, that fail to capture … of a power grid to its robustness against cascading failures by deliberate attacks, while also taking the fundamental … verification on synthetic power systems shows that the proposed metric reflects the grid robustness accurately. The proposed metric …

In this paper the robustness of network synchronizability against random deletion of nodes, i.e. errors, in dynamical … Laplacian and the order parameter quantifying the degree of phase synchrony were adopted, and the synchronizability robustness …, the robustness of its synchronizability against random removal of nodes declines, i.e. the more the number of randomly …

In this paper we study the robustness of heterogeneous preferential attachment networks. The robustness of a network … affinity parameters on a set of ensemble-averaged robustness metrics. We show that the presence of heterogeneity does not … translates into slight improvements in the robustness metrics, which prompts us to conjecture an evolutionary argument for the …

An important property of networked systems is their robustness against removal of network nodes, through either random … optimal robustness according to a given measure, one is often instead faced with an existing network that cannot feasibly be … substantially modified or redesigned, yet whose robustness can be improved by a lesser degree of modification. We present empirical …

parameters. For the new models, we demonstrate the robustness and fragility of synchronization against random and specific … has robustness and fragility against random failures and specifical removal of the nodes, respectively. In particular … synchronizability and robustness compared to the addition of nodes. …