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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 10 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
RECOMB
2005
Springer
14 years 10 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
MLDM
2009
Springer
14 years 4 months ago
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
Daniel Nikovski, Ganesan Ramachandran
ISPASS
2007
IEEE
14 years 4 months ago
PTLsim: A Cycle Accurate Full System x86-64 Microarchitectural Simulator
In this paper, we introduce PTLsim, a cycle accurate full system x86-64 microprocessor simulator and virtual machine. PTLsim models a modern superscalar out of order x86-64 proces...
Matt T. Yourst
MLCW
2005
Springer
14 years 3 months ago
Evaluating Predictive Uncertainty Challenge
This Chapter presents the PASCAL1 Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provide...
Joaquin Quiñonero Candela, Carl Edward Rasm...