Using the Fisher Kernel Method to Detect Remote Protein Homologies

Gene functional classification from heterogeneous data

RECOMB '01 Proceedings of the fifth annual international conference on Computational biology

Combining pairwise sequence similarity and support vector machines for remote protein homology detection

Proceedings of the sixth annual international conference on Computational biology

Computational Biology at the Beginning of the Post-genomic Era

Informatics - 10 Years Back. 10 Years Ahead.

Computational Biology - Algorithms and More

ESA '00 Proceedings of the 8th Annual European Symposium on Algorithms

An Automated ILP Server in the Field of Bioinformatics

ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming

Intrusion Detection with Support Vector Machines and Generative Models

ISC '02 Proceedings of the 5th International Conference on Information Security

An SVM-based Algorithm for Identification of Photosynthesis-specific Genome Features

CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics

Minimum Redundancy Feature Selection from Microarray Gene Expression Data

CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics

Multi-camera spatio-temporal fusion and biased sequence-data learning for security surveillance

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia

The Writer Independent Online Handwriting Recognition System frog on hand and Cluster Generative Statistical Dynamic Time Warping

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Meta-Learning Method to Select the Kernel Width in Support Vector Regression

Machine Learning

Learning to learn with the informative vector machine

ICML '04 Proceedings of the twenty-first international conference on Machine learning

Bayesian network model for semi-structured document classification

Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval

Fast String Kernels using Inexact Matching for Protein Sequences

The Journal of Machine Learning Research

Large scale genomic sequence SVM classifiers

ICML '05 Proceedings of the 22nd international conference on Machine learning

Gradient-Based Adaptation of General Gaussian Kernels

Neural Computation

Protein classification using transductive learning on phylogenetic profiles

Proceedings of the 2006 ACM symposium on Applied computing

Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features

Proceedings of the 2006 ACM symposium on Applied computing

Quantization-based probabilistic feature modeling for kernel design in content-based image retrieval

MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval

Machine learning methods for transcription data integration

IBM Journal of Research and Development - Systems biology

Structural alignment based kernels for protein structure classification

Proceedings of the 24th international conference on Machine learning

A recursive method for discriminative mixture learning

Proceedings of the 24th international conference on Machine learning

Data-Dependent Kernel Machines for Microarray Data Classification

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

A kernel-based method for pattern extraction in random process signals

Neurocomputing

Improved protein fold assignment using support vector machines

International Journal of Bioinformatics Research and Applications

Transductive learning with EM algorithm to classify proteins based on phylogenetic profiles

International Journal of Data Mining and Bioinformatics

Protein homology detection with biologically inspired features and interpretable statistical models

International Journal of Data Mining and Bioinformatics

Robust matching and recognition using context-dependent kernels

Proceedings of the 25th international conference on Machine learning

Equivalence Learning in Protein Classification

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

Brief Communication: A feature vector integration approach for a generalized support vector machine pairwise homology algorithm

Computational Biology and Chemistry

Learning a two-stage SVM/CRF sequence classifier

Proceedings of the 17th ACM conference on Information and knowledge management

g-MARS: Protein Classification Using Gapped Markov Chains and Support Vector Machines

PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics

An on-line speaker adaptation method for HMM-based speech recognizers

Acta Cybernetica

Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis

AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

Discriminative DNA classification and motif prediction using weighted degree string kernels with shift and mismatch

Proceedings of the International Conference on Advances in Computing, Communication and Control

An Inductive Logic Programming Approach to Statistical Relational Learning

Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning

Incremental Kernel Machines for Protein Remote Homology Detection

HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems

Learning mixture models with support vector machines for sequence classification and segmentation

Pattern Recognition

On prediction using variable order Markov models

Journal of Artificial Intelligence Research

The Positive Effects of Negative Information: Extending One-Class Classification Models in Binary Proteomic Sequence Classification

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence

Coding of amino acids by texture descriptors

Artificial Intelligence in Medicine

Identifying the potential for failure of businesses in the technology, pharmaceutical and banking sectors using kernel-based machine learning methods

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

A multi-class classification strategy for Fisher scores: Application to signer independent sign language recognition

Pattern Recognition

Learning Approximate Sequential Patterns for Classification

The Journal of Machine Learning Research

Recognition of structure classification of protein folding by NN and SVM hierarchical learning architecture

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Classifying proteins using gapped Markov feature pairs

Neurocomputing

Online signature verification with support vector machines based on LCSS kernel functions

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis

A conditional entropy minimization criterion for dimensionality reduction and multiple kernel learning

Neural Computation

Margin-based ensemble classifier for protein fold recognition

Expert Systems with Applications: An International Journal

Sequence classification via large margin hidden Markov models

Data Mining and Knowledge Discovery

Bounded coordinate-descent for biological sequence classification in high dimensional predictor space

Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data

The Journal of Machine Learning Research

Feature selection and dualities in maximum entropy discrimination

UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence

Kernels for longitudinal data with variable sequence length and sampling intervals

Neural Computation

Large Margin Hierarchical Classification with Mutually Exclusive Class Membership

The Journal of Machine Learning Research

Online signature verification with new time series kernels for support vector machines

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics

Bio-kernel self-organizing map for HIV drug resistance classification

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Efficient algorithms for intrusion detection

ICDCIT'04 Proceedings of the First international conference on Distributed Computing and Internet Technology

A class of new kernels based on high-scored pairs of k-peptides for SVMs and its application for prediction of protein subcellular localization

Transactions on Computational Systems Biology II

Remote homology detection on alpha-structural proteins using simulated evolution

Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine

Analysis of presence-only data via semi-supervised learning approaches

Computational Statistics & Data Analysis

Evolving fisher kernels for biological sequence classification

Evolutionary Computation

Density-based logistic regression

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Model-based kernel for efficient time series analysis

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Semi-supervised learning of hidden conditional random fields for time-series classification

Neurocomputing

The gapped spectrum kernel for support vector machines

MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition

Explicit context-aware kernel map learning for image annotation

ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems

Biological Sequence Classification with Multivariate String Kernels

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)