NIPS Proceedingsβ

Jason Weston

18 Papers

  • End-To-End Memory Networks (2015)
  • Translating Embeddings for Modeling Multi-relational Data (2013)
  • Label Embedding Trees for Large Multi-Class Tasks (2010)
  • Polynomial Semantic Indexing (2009)
  • Breaking SVM Complexity with Cross-Training (2004)
  • Learning to Find Pre-Images (2003)
  • Learning with Local and Global Consistency (2003)
  • Prediction on Spike Data Using Kernel Algorithms (2003)
  • Ranking on Data Manifolds (2003)
  • Semi-supervised Protein Classification Using Cluster Kernels (2003)
  • Cluster Kernels for Semi-Supervised Learning (2002)
  • Kernel Dependency Estimation (2002)
  • Mismatch String Kernels for SVM Protein Classification (2002)
  • A kernel method for multi-labelled classification (2001)
  • Feature Selection for SVMs (2000)
  • Vicinal Risk Minimization (2000)
  • Invariant Feature Extraction and Classification in Kernel Spaces (1999)
  • Transductive Inference for Estimating Values of Functions (1999)