Linear kernel
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Publications (44)

1Robust and Efficient Chinese Word Dependency Analysis with Linear Kernel Support Vector MachinesEfficient Chinese Word Dependency Analysis with Linear Kernel Support Vector Machines YuChieh Wu Dept. of Computer...

2Semantic Classification with Distributional Kernels2008  Diarmuid Ó Séaghdha,Ann Copestakethe zero vector, we obtain a quantity that is twice the linear kernel k(x, y) = ∑ i xiyi. Applying (3b) we derive the Gaussian...

3"Expressesanopinionabout": using corpus statistics in an information extraction approach to opinion miningN Maj.class (Y) baseline 0.59 / 1.00 / 0.74 0.59 Y N Linear kernel 0.70 / 0.73 / 0.72 0.66 Y N RBF kernel 0.72 / 0.76 / 0...

4Accelerated Training of Maximum Margin Markov Models for Sequence Labeling: A Case Study of NP Chunking2010  Xiaofeng Yu,Wai Lamand Smola, 2002; ShaweTaylor and Cristianini, 2004). A linear kernel can be defined as κ((x, y), (x′, y′)) = 〈φ(x, y), φ(x′...

5Visualization on Financial Terms via Risk Ranking from Financial Reports2012  MingFeng Tsai,ChuanJu Wangrisk levels (ℓ = 2) via Equation (2). For regression, linear kernel is adopted with ε = 0.1 and the tradeoff C is set to...

6LinearTime Dependency Analysis for Japanese2004  Manabu Sassano(Number of Bunsetsus) Figure 5: Observed Running Time with Linear Kernel. The misclassification cost is set to 0.0056. classifiers...

7Using BagofConcepts to Improve the Performance of Support Vector Machines in Text Categorization2004  Magnus Sahlgren,Rickard Cöster, we use three standard kernel functions — the basic linear kernel, the polynomial kernel, and the radial basis kernel:8...

8Exploiting Constituent Dependencies for Tree KernelBased Semantic Relation Extraction(2006) design a composite kernel consisting of an entity linear kernel and a standard CTK, obtaining the Fmeasure of 72.1...

9Entity Disambiguation for Knowledge Base PopulationSVMrank to solve this optimization problem.3 We used a linear kernel, set the slack parameter C as 0.01 times the number of...

10Efficient Feedbackbased Feature Learning for Blog Distillation as a Terabyte Challengeinclination we apply a SVM classifier with the default linear kernel and calculate the weight of a support vector from the...