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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
15 years 10 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
DATE
2005
IEEE
180views Hardware» more  DATE 2005»
15 years 3 months ago
A Coprocessor for Accelerating Visual Information Processing
Visual information processing will play an increasingly important role in future electronics systems. In many applications, e.g. video surveillance cameras, data throughput of mic...
Walter Stechele, L. Alvado Cárcel, Stephan ...
KDD
2005
ACM
142views Data Mining» more  KDD 2005»
15 years 10 months ago
Towards exploratory test instance specific algorithms for high dimensional classification
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
Charu C. Aggarwal
83
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EWCBR
2004
Springer
15 years 2 months ago
Maintaining Case-Based Reasoning Systems: A Machine Learning Approach
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Niloofar Arshadi, Igor Jurisica
BMCBI
2006
122views more  BMCBI 2006»
14 years 9 months ago
PET-Tool: a software suite for comprehensive processing and managing of Paired-End diTag (PET) sequence data
Background: We recently developed the Paired End diTag (PET) strategy for efficient characterization of mammalian transcriptomes and genomes. The paired end nature of short PET se...
Kuo Ping Chiu, Chee-Hong Wong, Qiongyu Chen, Prami...