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» On the Need for a Neural Abstract Machine
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FLAIRS
2004
13 years 9 months ago
Gene Expression Data Classification with Revised Kernel Partial Least Squares Algorithm
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
ZhenQiu Liu, Dechang Chen
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
13 years 6 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
ESOP
1994
Springer
14 years 1 days ago
Compilation of Head and Strong Reduction
Functional language compilers implement only weak-head reduction. However, there are cases where head normal forms or full normal forms are needed. Here, we study how to use cps c...
Pascal Fradet
ANOR
2002
57views more  ANOR 2002»
13 years 7 months ago
Redefining Event Variables for Efficient Modeling of Continuous-Time Batch Processing
Abstract: We define events so as to reduce the number of events and decision variables needed for modeling batchscheduling problems such as described in [Westenberger and Kallrath ...
Siqun Wang, Monique Guignard
IJCNN
2006
IEEE
14 years 2 months ago
Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD
— This paper reports a new document retrieval method using non-relevant documents. Especially, this paper reports a comparison of retrieval efficiency between One Class Support ...
Takashi Onoda, Hiroshi Murata, Seiji Yamada