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» Evaluating algorithms that learn from data streams
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KDD
2004
ACM
145views Data Mining» more  KDD 2004»
16 years 6 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
JCB
2008
91views more  JCB 2008»
15 years 6 months ago
Computational Quantification of Peptides from LC-MS Data
Liquid chromatography coupled to mass spectrometry (LC-MS) has become a major tool for the study of biological processes. High-throughput LC-MS experiments are frequently conducte...
Ole Schulz-Trieglaff, Rene Hussong, Clemens Gr&oum...
LWA
2007
15 years 8 months ago
Parameter Learning for a Readability Checking Tool
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
Tim vor der Brück, Johannes Leveling
AI
2009
Springer
16 years 1 months ago
Automatic Frame Extraction from Sentences
We present a method for automatic extraction of frames from .a dependency graph. Our method uses machine learning applied to a dependency tree to assign frames and assign frame ele...
Martin Scaiano, Diana Inkpen
ICML
2008
IEEE
16 years 7 months ago
Modified MMI/MPE: a direct evaluation of the margin in speech recognition
In this paper we show how common speech recognition training criteria such as the Minimum Phone Error criterion or the Maximum Mutual Information criterion can be extended to inco...
Georg Heigold, Hermann Ney, Ralf Schlüter, Th...