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AAAI
2012
8 years 29 days ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
ACL
2012
8 years 29 days ago
String Re-writing Kernel
Learning for sentence re-writing is a fundamental task in natural language processing and information retrieval. In this paper, we propose a new class of kernel functions, referre...
Fan Bu, Hang Li, Xiaoyan Zhu
ICANN
2011
Springer
9 years 2 months ago
Extending Tree Kernels with Topological Information
The definition of appropriate kernel functions is crucial for the performance of a kernel method. In many of the state-of-the-art kernels for trees, matching substructures are con...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
JMLR
2010
206views more  JMLR 2010»
9 years 5 months ago
Learning Translation Invariant Kernels for Classification
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Sayed Kamaledin Ghiasi Shirazi, Reza Safabakhsh, M...
AIRS
2010
Springer
9 years 8 months ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong
JUCS
2007
124views more  JUCS 2007»
9 years 10 months ago
An Improved SVM Based on Similarity Metric
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
Chaoyong Wang, Yanfeng Sun, Yanchun Liang
BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
9 years 10 months ago
Profile-based direct kernels for remote homology detection and fold recognition
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
Huzefa Rangwala, George Karypis
PR
2006
152views more  PR 2006»
9 years 10 months ago
Edit distance-based kernel functions for structural pattern classification
A common approach in structural pattern classification is to define a dissimilarity measure on patterns and apply a distance-based nearest-neighbor classifier. In this paper, we i...
Michel Neuhaus, Horst Bunke
UAI
2000
9 years 12 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping
NIPS
2003
9 years 12 months ago
Kernels for Structured Natural Language Data
This paper devises a novel kernel function for structured natural language data. In the field of Natural Language Processing, feature extraction consists of the following two ste...
Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
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