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» Defining the Goals to Optimise Data Mining Performance
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
CIKM
2010
Springer
13 years 2 months ago
On bootstrapping recommender systems
Recommender systems perform much better on users for which they have more information. This gives rise to a problem of satisfying users new to a system. The problem is even more a...
Nadav Golbandi, Yehuda Koren, Ronny Lempel
KDD
2004
ACM
108views Data Mining» more  KDD 2004»
14 years 8 months ago
Sleeved coclustering
A coCluster of a m?n matrix X is a submatrix determined by a subset of the rows and a subset of the columns. The problem of finding coClusters with specific properties is of inter...
Avraham A. Melkman, Eran Shaham
PKDD
2010
Springer
188views Data Mining» more  PKDD 2010»
13 years 6 months ago
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
ervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , ...
Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobe...
IFIP13
2004
13 years 9 months ago
A Sampling Model to Ascertain Automation-Induced Complacency in Multi-Task Environments
: This article discusses the development of a model that defines the optimal sampling behaviour of operators in a multi-task flight simulation, where one of the tasks is automated....
Nasrine Bagheri, Greg A. Jamieson