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ECML
2004
Springer
15 years 8 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
ICML
2009
IEEE
16 years 3 months ago
Learning dictionaries of stable autoregressive models for audio scene analysis
In this paper, we explore an application of basis pursuit to audio scene analysis. The goal of our work is to detect when certain sounds are present in a mixed audio signal. We fo...
Youngmin Cho, Lawrence K. Saul
MLDM
2007
Springer
15 years 9 months ago
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Trevor Parsons, John Murphy, Patrick O'Sullivan
OTM
2005
Springer
15 years 8 months ago
An XML-Based Cross-Language Framework
Abstract. We introduce XMLVM, a Turing complete XML-based programming language based on a stack-based, virtual machine. We show how XMLVM can automatically be created from Java cla...
Arno Puder
FDL
2005
IEEE
15 years 8 months ago
Linearly graded behavioural analogue performance models
A concept of linearly graded statistical models for analogue performance evaluation is proposed and a suitable technique for automatic generation of analogue performance models us...
Xianqiang Ren, Tom J. Kazmierski