Sciweavers

1088 search results - page 77 / 218
» A Bayesian Approach to Tackling Hard Computational Problems
Sort
View
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
14 years 5 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
KDD
2012
ACM
220views Data Mining» more  KDD 2012»
12 years 24 days ago
ComSoc: adaptive transfer of user behaviors over composite social network
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
CEC
2007
IEEE
14 years 4 months ago
Computational chemotaxis in ants and bacteria over dynamic environments
— Chemotaxis can be defined as an innate behavioural response by an organism to a directional stimulus, in which bacteria, and other single-cell or multicellular organisms direct...
Vitorino Ramos, Carlos Fernandes, Agostinho C. Ros...
CVIU
2011
13 years 1 months ago
Graph attribute embedding via Riemannian submersion learning
In this paper, we tackle the problem of embedding a set of relational structures into a metric space for purposes of matching and categorisation. To this end, we view the problem ...
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jian...
AIPS
2009
13 years 11 months ago
Ant Search Strategies For Planning Optimization
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is well known that finding optimal solutions to planning problems is a very hard co...
Marco Baioletti, Alfredo Milani, Valentina Poggion...