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KDD
2004
ACM
237views Data Mining» more  KDD 2004»
14 years 8 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
PAKM
2000
13 years 9 months ago
Knowledge Management and New Product Development: Learning from a Software Development Firm
The core of the new product development [NPD] process centers on knowledge creation, utilization and the management of knowledge. This manuscript uses a software firm case to esta...
Abraham B. Shani, James A. Sena
ATAL
2008
Springer
13 years 9 months ago
Graph Laplacian based transfer learning in reinforcement learning
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo
AH
2006
Springer
13 years 9 months ago
Dynamic Content Discovery, Harvesting and Delivery, from Open Corpus Sources, for Adaptive Systems
Personalised elearning is being heralded as one of the grand challenges of next generation learning systems, in particular, its ability to support greater effectiveness, efficiency...
Séamus Lawless, Vincent Wade
ICIAP
2009
ACM
14 years 6 months ago
Fuzzy Smoothed Composition of Local Mapping Transformations for Non-rigid Image Registration
This paper presents a novel method for medical image registration. The global transformation is obtained by composing affine transformations, which are recovered locally from giv...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...