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» Learning and Design of Principal Curves
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FPL
2009
Springer
85views Hardware» more  FPL 2009»
15 years 6 months ago
Generating high-performance custom floating-point pipelines
Custom operators, working at custom precisions, are a key ingredient to fully exploit the FPGA flexibility advantage for high-performance computing. Unfortunately, such operators...
Florent de Dinechin, Cristian Klein, Bogdan Pasca
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
16 years 1 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...
JUCS
2007
124views more  JUCS 2007»
15 years 1 months ago
Pipeline-scheduling Simulator for Educational Purpose
: This paper presents a project that provides both, to professors and to students, a tool that is useful for studying, teaching and learning how pipelines work and how they can be ...
José M. Chaves-González, Miguel A. V...
UM
2005
Springer
15 years 7 months ago
Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning
Abstract. Since problem solving in group problem-based learning is a collaborative process, modeling individuals and the group is necessary if we wish to develop an intelligent tut...
Siriwan Suebnukarn, Peter Haddawy
ICFP
2008
ACM
16 years 1 months ago
Experience report: erlang in acoustic ray tracing
We investigated the relative merits of C++ and Erlang in the implementation of a parallel acoustic ray tracing algorithm for the U.S. Navy. We found a much smaller learning curve ...
Christian Convey, Andrew Fredricks, Christopher Ga...