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» Learning to learn with the informative vector machine
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ISBI
2006
IEEE
16 years 7 months ago
Incremental learning for segmentation in medical images
Hand-coded vision systems are problematic in complex medical domains and are hard to change as new information emerges. Knowledge-Engineering and Machine Learning approaches to in...
Avishkar Misra, Arcot Sowmya, Paul Compton
ECML
2004
Springer
16 years 3 days ago
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework
Given the pattern-based multi-predictors of the stock price, we study a method of dynamic asset allocation to maximize the trading performance. To optimize the proportion of asset ...
Jangmin O, Jae Won Lee, Jongwoo Lee, Byoung-Tak Zh...
ESSMAC
2003
Springer
15 years 12 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
CLIN
2004
15 years 8 months ago
Learning Dutch Coreference Resolution
This paper presents a machine learning approach to the resolution of coreferential relations between nominal constituents in Dutch. It is the first significant automatic approach ...
Véronique Hoste, Walter Daelemans
MLMI
2007
Springer
16 years 25 days ago
An Ego-Centric and Tangible Approach to Meeting Indexing and Browsing
Abstract. This article presents an ego-centric approach for indexing and browsing meetings. The method considers two concepts: meetings’ data alignment with personal information ...
Denis Lalanne, Florian Evéquoz, Maurizio Ri...