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ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 3 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
INFOVIS
2003
IEEE
14 years 2 months ago
Visualization of Labeled Data Using Linear Transformations
We present a novel family of data-driven linear transformations, aimed at visualizing multivariate data in a low-dimensional space in a way that optimally preserves the structure ...
Yehuda Koren, Liran Carmel
DAWAK
2008
Springer
13 years 10 months ago
Document-Base Extraction for Single-Label Text Classification
Many text mining applications, especially when investigating Text Classification (TC), require experiments to be performed using common textcollections, such that results can be co...
Yanbo J. Wang, Robert Sanderson, Frans Coenen, Pau...
MOBIHOC
2004
ACM
14 years 8 months ago
Using labeled paths for loop-free on-demand routing in ad hoc networks
We present the Feasible Label Routing (FLR) protocol for mobile ad hoc networks, which uses path information to establish routes to destinations on demand. FLR enables loopfree in...
Hari Rangarajan, J. J. Garcia-Luna-Aceves
SIGIR
2012
ACM
11 years 11 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng