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Publications (39)

1Extracting Word Sequence Correspondences with Support Vector Machines2002  Kengo Sato,Hiroaki Saitosamples and can learn dependencies of features by using a kernel function. Our method uses features for the translation model which...

2Semisupervised training of a Kernel PCABased Model for Word Sense Disambiguationis usually not explicitly provided. Instead we use a kernel function to implicitly define the nonlinear mapping; in this respect...

3A Language Independent Method for Question Classification2004  Thamar Solorio,Manuel PérezCoutiño,Manuel MontesyGómez,Luis VillaseñorPineda,Aurelio LópezLópezZhang and Sun Lee improve accuracy by introducing a tree kernel function that allows to represent the syntactic structure of questions...

4Probabilistic Sentence Reduction Using Support Vector Machineswhere αi is the Lagrange multiple, and K(x′, x′′) is a kernel function, the SVM calculates similarity between two arguments...

5Kernel Slicing: Scalable Online Training with Conjunctive Featureses a kernel function, k. In round t, PAI first computes a (signed) margin mt(x) of x by using the kernel function with support...

6Kernelbased Reranking for NamedEntity Extractionsyntactic trees that encode grammatical derivations and the kernel function computes the number of common subtrees. Similarly, sequence...

7Using BagofConcepts to Improve the Performance of Support Vector Machines in Text Categorization2004  Magnus Sahlgren,Rickard Cöstercircles. function. The implicit mapping is performed by a kernel function that expresses the inner product between two examples...

8Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machineas a vector and maps it into a feature space using a kernel function. In this paper we used TinySVM1 along with Yamcha2...

9Kernel Engineering for Fast and Easy Design of Natural Language Applications2010  Alessandro Moschittikernel functions we rewrite the problem as: 24 Kernel Function Definition Kernels are the product of mapping functions...

10Semantic Classification with Distributional Kernels2008  Diarmuid Ó Séaghdha,Ann Copestakethe boundary is set are determined by the choice of kernel function. So long as the kernel satisfies (1), the SVM optimisation...