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NEUROSCIENCE
2001
Springer
15 years 11 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
SIGIR
2010
ACM
15 years 10 months ago
Discriminative models of integrating document evidence and document-candidate associations for expert search
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
Yi Fang, Luo Si, Aditya P. Mathur
ESSMAC
2003
Springer
15 years 12 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
ESWA
2008
124views more  ESWA 2008»
15 years 6 months ago
A hybrid financial analysis model for business failure prediction
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
Shi-Ming Huang, Chih-Fong Tsai, David C. Yen, Yin-...
DATE
2009
IEEE
107views Hardware» more  DATE 2009»
16 years 1 months ago
User-centric design space exploration for heterogeneous Network-on-Chip platforms
- In this paper, we present a design methodology for automatic platform generation of future heterogeneous systems where communication happens via the Network-onChip (NoC) approach...
Chen-Ling Chou, Radu Marculescu