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» Improving Rule Evaluation Using Multitask Learning
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NIPS
2007
14 years 11 months ago
Multi-task Gaussian Process Prediction
In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
68
Voted
CODES
2011
IEEE
13 years 9 months ago
Adaptive resource management for simultaneous multitasking in mixed-grained reconfigurable multi-core processors
We propose a novel scheme for run-time management of mixedgrained reconfigurable fabric for the purpose of simultaneous multi-tasking in multi-core reconfigurable processors. Trad...
Waheed Ahmed, Muhammad Shafique, Lars Bauer, J&oum...
ICPR
2008
IEEE
15 years 10 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
15 years 1 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
AIIA
2003
Springer
15 years 2 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...