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» Kernels for Semi-Structured Data
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EMNLP
2009
13 years 7 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
HIPS
1998
IEEE
14 years 2 months ago
Language Bindings for a Data-Parallel Runtime
The NPAC kernel runtime, developed in the PCRC Parallel Compiler Runtime Consortium project, is a runtime library with special support for the High Performance Fortran data model....
Bryan Carpenter, Geoffrey Fox, Donald Leskiw, Xiao...
ICML
2002
IEEE
14 years 11 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
HOTOS
2003
IEEE
14 years 3 months ago
Certifying Program Execution with Secure Processors
Cerium is a trusted computing architecture that protects a program’s execution from being tampered while the program is running. Cerium uses a physically tamperresistant CPU and...
Benjie Chen, Robert Morris
STORAGESS
2005
ACM
14 years 3 months ago
An electric fence for kernel buffers
Improper access of data buffers is one of the most common errors in programs written in assembler, C, C++, and several other languages. Existing programs and OSs frequently acces...
Nikolai Joukov, Aditya Kashyap, Gopalan Sivathanu,...