Gene Selection for Cancer Classification using Support Vector Machines von Guyon, Isabelle, Weston, Jason, Barnhill, Stephen, Vapnik, Vladimir

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Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins von Qi, Yanjun, Tastan, Oznur, Carbonell, Jaime G., Klein-Seetharaman, Judith, Weston, Jason

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Improvements to the Percolator Algorithm for Peptide Identification from Shotgun Proteomics Data Sets von Spivak, Marina, Weston, Jason, Bottou, Léon, Käll, Lukas, Noble, William Stafford

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A unified multitask architecture for predicting local protein properties von Qi, Yanjun, Oja, Merja, Weston, Jason, Noble, William Stafford

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Mismatch string kernels for discriminative protein classification von Leslie, Christina S., Eskin, Eleazar, Cohen, Adiel, Weston, Jason, Noble, William Stafford

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Semi-supervised protein classification using cluster kernels von Weston, Jason, Leslie, Christina, Ie, Eugene, Zhou, Dengyong, Elisseeff, Andre, Noble, William Stafford

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A semantic matching energy function for learning with multi-relational data: Application to word-sense disambiguation von Bordes, Antoine, Glorot, Xavier, Weston, Jason, Bengio, Yoshua

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Large scale image annotation: learning to rank with joint word-image embeddings von Weston, Jason, Bengio, Samy, Usunier, Nicolas

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Large scale application of neural network based semantic role labeling for automated relation extraction from biomedical texts von Barnickel, Thorsten, Weston, Jason, Collobert, Ronan, Mewes, Hans-Werner, Stümpflen, Volker

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A User’s Guide to Support Vector Machines von Ben-Hur, Asa, Weston, Jason

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Detecting remote evolutionary relationships among proteins by large-scale semantic embedding von Melvin, Iain, Weston, Jason, Noble, William Stafford, Leslie, Christina

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Open Question Answering with Weakly Supervised Embedding Models von Bordes, Antoine, Weston, Jason, Usunier, Nicolas

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Learning gene functional classifications from multiple data types von Pavlidis, Paul, Weston, Jason, Cai, Jinsong, Noble, William Stafford

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Protein Ranking: From Local to Global Structure in the Protein Similarity Network von Weston, Jason, Elisseeff, Andre, Zhou, Dengyong, Leslie, Christina S., Noble, William Stafford, Waterman, Michael S.

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Semisupervised Neural Networks for Efficient Hyperspectral Image Classification von Ratle, Frederic, Camps-Valls, Gustavo, Weston, Jason

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Combining classifiers for improved classification of proteins from sequence or structure von Melvin, Iain, Weston, Jason, Leslie, Christina S, Noble, William S

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Semi-supervised learning for peptide identification from shotgun proteomics datasets von MacCoss, Michael J, Käll, Lukas, Canterbury, Jesse D, Weston, Jason, Noble, William Stafford

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Fast Kernel Classifiers with Online and Active Learning von Bordes, Antoine, Seyda, Ertekin, Weston, Jason, Bottou, Léon

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Deep Learning via Semi-supervised Embedding von Weston, Jason, Ratle, Frédéric, Mobahi, Hossein, Collobert, Ronan

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Learning to rank with (a lot of) word features von Bai, Bing, Weston, Jason, Grangier, David, Collobert, Ronan, Sadamasa, Kunihiko, Qi, Yanjun, Chapelle, Olivier, Weinberger, Kilian

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