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IJON
2007
184views more  IJON 2007»
15 years 6 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
TASE
2008
IEEE
15 years 6 months ago
New Solution Approaches to the General Single- Machine Earliness-Tardiness Problem
This paper addresses the general single-machine earliness-tardiness problem with distinct release dates, due dates, and unit costs. The aim of this research is to obtain an exact n...
Hoksung Yau, Yunpeng Pan, Leyuan Shi
220
Voted
SIGIR
2011
ACM
14 years 9 months ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
DISCO
1993
156views Hardware» more  DISCO 1993»
15 years 11 months ago
Variant Handling, Inheritance and Composition in the ObjectMath Computer Algebra Environment
ObjectMath is a high-level programming environment and modeling language for scientific computing which supports variants and graphical browsing in the environment and integrates o...
Peter Fritzson, Vadim Engelson, Lars Viklund
199
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SC
2009
ACM
16 years 1 months ago
Kestrel: an XMPP-based framework for many task computing applications
This paper presents a new distributed computing framework for Many Task Computing (MTC) applications, based on the Extensible Messaging and Presence Protocol (XMPP). A lightweight...
Lance Stout, Michael A. Murphy, Sebastien Goasguen