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» Learning and Design of Principal Curves
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FPL
2009
Springer
85views Hardware» more  FPL 2009»
14 years 2 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»
14 years 10 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»
13 years 9 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
14 years 3 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
14 years 9 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...