Sciweavers

6181 search results - page 808 / 1237
» Predictive Matrix-Variate t Models
Sort
View
JDCTA
2010
159views more  JDCTA 2010»
15 years 1 months ago
QSPR Study Of Mineral Crystal Lattice Energy Based On Gene Expression Programming
In this study, gene expression programming (GEP), a novel genetic algorithm, is used to develop quantitative model as potential screening mechanism for mineral crystal lattice ene...
Yuntao Zhang, Wenbin Dai, Zhengjun Cheng
TNN
2010
173views Management» more  TNN 2010»
15 years 27 days ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
CAISE
2011
Springer
14 years 9 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
QRE
2008
140views more  QRE 2008»
15 years 5 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
NECO
2010
103views more  NECO 2010»
15 years 4 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...