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ML
2006
ACM
163views Machine Learning» more  ML 2006»
14 years 11 months ago
Extremely randomized trees
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
Pierre Geurts, Damien Ernst, Louis Wehenkel
CCGRID
2006
IEEE
15 years 5 months ago
Learning-Based Negotiation Strategies for Grid Scheduling
One of the key requirement for Grid infrastructures is the ability to share resources with nontrivial qualities of service. However, resource management in a decentralized infrast...
Jiadao Li, Ramin Yahyapour
JUCS
2008
155views more  JUCS 2008»
14 years 11 months ago
Dynamic Bandwidth Pricing: Provision Cost, Market Size, Effective Bandwidths and Price Games
Abstract: Nowadays, in the markets of broadband access services, traditional contracts are of "static" type. Customers buy the right to use a specific amount of resources...
Sergios Soursos, Costas Courcoubetis, Richard R. W...
ISORC
2008
IEEE
15 years 6 months ago
Scenario Based Evaluation
The concept of a scenario has long been utilized in military procurement as a means of evaluating capability in an operational context. With the advent of initiatives such as the ...
Nik Looker, David Webster, Duncan Russell, Jie Xu
OTM
2005
Springer
15 years 5 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee