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» A Framework for Machine Learning with Ambiguous Objects
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IWANN
2005
Springer
14 years 29 days ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
ICALT
2005
IEEE
14 years 1 months ago
Ontologies for Reusing Learning Object Content
The paper proposes a framework for building learning object (LO) content using ontologies. In the previous work on using ontologies to describe LOs, researchers employed ontologies...
Dragan Gasevic, Jelena Jovanovic, Vladan Devedzic,...
MICRO
2008
IEEE
148views Hardware» more  MICRO 2008»
14 years 1 months ago
Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach
—Efficient sharing of system resources is critical to obtaining high utilization and enforcing system-level performance objectives on chip multiprocessors (CMPs). Although sever...
Ramazan Bitirgen, Engin Ipek, José F. Mart&...
ICVGIP
2004
13 years 8 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
ML
2006
ACM
14 years 1 months ago
Ocsigen: typing web interaction with objective Caml
Ocsigen is a framework for programming highly dynamic web sites in Objective Caml. It allows to program sites as Ocaml applications and introduces new concepts to take into accoun...
Vincent Balat