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ACL
2009
13 years 7 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
TITB
2002
142views more  TITB 2002»
13 years 8 months ago
Building a bioinformatics ontology using OIL
This paper describes the initial stages of building an ontology of bioinformatics and molecular biology. The conceptualisation is encoded using the Ontology Inference Layer (OIL),...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
IPPS
2008
IEEE
14 years 3 months ago
Modeling and predicting application performance on parallel computers using HPC challenge benchmarks
A method is presented for modeling application performance on parallel computers in terms of the performance of microkernels from the HPC Challenge benchmarks. Specifically, the a...
Wayne Pfeiffer, Nicholas J. Wright
CPE
2000
Springer
369views Hardware» more  CPE 2000»
14 years 1 months ago
Petri Net Modelling and Performability Evaluation with TimeNET 3.0
Abstract. This paper presents TimeNET, a software tool for the modelling and performability evaluation using stochastic Petri nets. The tool has been designed especially for models...
Armin Zimmermann, Jörn Freiheit, Reinhard Ger...
JUCS
2007
133views more  JUCS 2007»
13 years 9 months ago
Building Immersive Conversation Environment Using Locomotive Interactive Character
: Generating composite human motion such as locomotion and gestures is important for interactive applications, such as interactive storytelling and computer games. In interactive s...
Rai Chan, Junichi Hoshino