Burges, C.J., 1998. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2 (2), 121 -- 167. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents Next 50
Recipes for the linear analysis of EEG - Lucas Parra Clay (Correct)
No context found.
Burges, C.J., 1998. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov. 2 (2), 121 -- 167.
Kernel Logistic Regression and the Import Vector Machine - Ji Zhu Department (Correct)
No context found.
Burges, C. (1998) A tutorial on support vector machines for pattern recognition. In Data Mining and Knowledge Discovery, 2. Kluwer Academic Publishers, Boston. 22
The Maximum-Margin Approach to Learning Text Classifiers -.. - Joachims (2000) (17 citations) (Correct)
No context found.
Burges, C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167.
Making Indefinite Kernel Learning Practical - Mierswa (2006) (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
A Simple Method For Estimating Conditional Probabilities For.. - Stefan Uping Cs (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Evolutionary Learning with Kernels: A Generic Solution for Large.. - Mierswa (2006) (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Towards Formal Structural Representation of Spoken Language: An.. - Gutkin (2005) (Correct)
No context found.
Burges, C. J. C. (1998), "A Tutorial on Support Vector Machines for Pattern Recognition, " Data Mining and Knowledge Discovery 2(2), 121--167.
A Sparse Probabilistic Learning Algorithm for Real-Time.. - Oliver Williams Department (2003) (3 citations) (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121--167, 1998.
Automatic Face Recognition for Film Character Retrieval.. - Films Ognjen Arandjelovi (2005) (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. DMKD, 2(2), 1998.
Image Replica Detection based on Support Vector Classifier - Maret Dufaux And (2005) (Correct)
No context found.
C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery 2(2), pp. 121--167, 1998.
Sensitivity Analysis of the Result in Binary Decision Trees - Alvarez (2004) (Correct)
No context found.
Burges, C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery Vol. 2, 2 (1998) 955-974
Efficient Kernel Calculation for Multirelational Data - Stefan Uping Cs (2002) (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Identification of Image Variations based on - Equivalence Classes Maret (Correct)
No context found.
C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery 2(2), pp. 121--167, 1998.
A Multi-Clustering Fusion Scheme - For Data Partitioning (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):955--974, 1998. 25
Gene Functional classification by Semi-supervised - Learning From Heterogeneous (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Support Vector Machines in Relational Databases - Stefan Uping Cs (2002) (Correct)
No context found.
Burges, C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery2 (1998) 121--167
One-Class Novelty Detection for Seizure Analysis.. - Gardner, Krieger, .. (2006) (Correct)
No context found.
C. J. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, 2:1-47, 1998.
Cloud Detection over Snow and Ice Using MISR Data - Tao Shi Bin (Correct)
No context found.
Burges, C. (1998). A Tutorial on Support Vector Machines for Pattern Recognition. Knowledge Discovery and Data Mining, 2(2).
Grounding Words in Perception and Action: Computational Insights - Roy (2005) (Correct)
No context found.
Burges, C. (1998) A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2, 121--167
Using Acoustic-Phonetic Information - John-Paul Hosom University (Correct)
No context found.
Burges, C. J. C. A Tutorial on Support Vector Machines for Pattern Recognition. Kluwer Academic Publishers, Boston, MA,
Automatic Mining of Fruit Fly Embryo Images - Jia-Yu Pan Andr (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Efficient Exact k-NN and Nonparametric - Classification In High (Correct)
No context found.
C. Burges. A tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2(2):955--974, 1998.
ON PREDICTING RARE CLASSES WITH SVM ENSEMBLES IN SCENE.. - School Of Computer (Correct)
No context found.
C.J.C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 955--974, 1998.
Using Machine Learning to Detect Cognitive - States Across Multiple (Correct)
No context found.
Burges C., A Tutorial on Support Vector Machines for Pattern Recognition, Journal of data Mining and Knowledge Discovery, 2(2),121-167, 1998.
ViVo: Visual Vocabulary Construction - For Mining Biomedical (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Analysis of Statistical Question Classification for.. - Metzler, Croft (2004) (Correct)
No context found.
Burges, C. J. C.: 1998, `A Tutorial on Support Vector Machines for Pattern Recognition'. Data Mining and Knowledge Discovery 2(2), 121--167.
Direct Maximization of Rank-based Metrics - Metzler (2005) (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Stochastic Scheduling of Active Support Vector Learning.. - Pandey, Gupta, Mitra (2005) (Correct)
No context found.
C.J.C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:1--47, 1998.
Sequential Support Vector Classifiers and Regression - Sethu Vijayakumar And (1999) (4 citations) (Correct)
No context found.
C.J.C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 1998. (In press.).
Learning-Assisted Multi-Step Planning - Kris Hauser Tim (2005) (Correct)
No context found.
C. J. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, pp. 121--167, 1998.
Preference Elicitation for Interface Optimization - Gajos, Weld (2005) (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Min. Knowl. Discov., 2(2):121--167, 1998.
A Preliminary MML Linear Classifier using - Principal Components For (2005) (Correct)
No context found.
Burges, Christopher J.C. (1998). A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, Volume 2, Pages 121-167.
CrossMine: Efficient Classification Across Multiple Database .. - Xiaoxin Yin Uiuc (2004) (1 citation) (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121--168, 1998.
Untethered Gesture Acquisition and Recognition for.. - Demirdjian, Ko, Darrell (2003) (1 citation) (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
The Subspace Information Criterion for Infinite Dimensional.. - Sugiyama, al. (2002) (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Knowledge Discovery and Data Mining, 2(2):121--167, 1998.
Model Selection in Demographic Time Series Using VC-bounds - Corani, Gatto (2006) (Correct)
No context found.
Burges, J., 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge discovery 2, 121--167.
MONITORMINING: Creating Domain Knowledge for System.. - Uttamchandani, Yin, al. (Correct)
No context found.
Chris Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
A First Step Toward Detecting SSH Identity Theft in HPC Cluster .. - Yurcik, Liu (2005) (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Automatic Meaning Discovery Using Google - Cilibrasi, Vitanyi (2004) (2 citations) (Correct)
No context found.
C.J.C. Burges. A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery, 2:2(1998),121--167.
Approximate Minimum Enclosing Balls in High Dimensions.. - Kumar, Mitchell.. (2003) (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Automatic Time Stamp Extraction System for Home Videos - Yin, Hua, Zhang (2002) (Correct)
No context found.
C.J.C. Burges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp 121-167, 1998.
Automatic Prediction Of Hit Songs - Ruth Dhanaraj Research (Correct)
No context found.
C. Burges. A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Computing Core-Sets and Approximate Smallest Enclosing.. - Kumar, Mitchell.. (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Scalable Knowledge Acquisition through Memory Organization - Stracuzzi (2005) (Correct)
No context found.
Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 121--167.
A Simple Method for Estimating Conditional Probabilities for SVMs - Rüping (2004) (Correct)
No context found.
C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Reliability yields Information Gain - Sprinkhuizen-Kuyper Kuyper Cs (2005) (Correct)
No context found.
Burges, C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2, 121--167.
Support Vector Machines - Steven Busuttil Department (Correct)
No context found.
Burges, C. J. C. A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery. 2:121--167, Kluwer Academic Publishers, Boston, 1998.
Unanimous Voting using Support Vector Machines - Smirnov Sprinkhuizen-Kuyper.. (2004) (Correct)
No context found.
C.J.C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
Computing Core-Sets and Approximate Smallest Enclosing.. - Kumar, Mitchell.. (Correct)
No context found.
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121--167, 1998.
BINGO! and DAFFODIL: Personalized Exploration of Digital.. - Theobald, Klas (Correct)
No context found.
C.J.C. Burges. A tutorial on Support Vector Machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2), 1998.
First 50 documents Next 50
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC