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ML
2006
ACM
163views Machine Learning» more  ML 2006»
15 years 6 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
16 years 6 days 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»
15 years 6 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
16 years 16 days 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 11 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