6 Result(s)

Article

Introduction to the special issue on learning semantics

Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston… in Machine Learning (2014)

Article

Learning semantic representations of objects and their parts

Recently, large scale image annotation datasets have been collected with millions of images and thousands of possible annotations. Latent variable models, or embedding methods, that simultaneously learn semant...

Grégoire Mesnil, Antoine Bordes, Jason Weston, Gal Chechik… in Machine Learning (2014)

Article

A semantic matching energy function for learning with multi-relational data

Large-scale relational learning becomes crucial for handling the huge amounts of structured data generated daily in many application domains ranging from computational biology or information retrieval, to natu...

Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio in Machine Learning (2014)

Article

Large scale image annotation: learning to rank with joint word-image embeddings

Image annotation datasets are becoming larger and larger, with tens of millions of images and tens of thousands of possible annotations. We propose a strongly performing method that scales to such datasets by ...

Jason Weston, Samy Bengio, Nicolas Usunier in Machine Learning (2010)

Article

Gene Selection for Cancer Classification using Support Vector Machines

DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active, hyperactive or silent in normal or cancerous tissue. Because these new micro-arr...

Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik in Machine Learning (2002)

Chapter and Conference Paper

A Kernel Approach for Learning from Almost Orthogonal Patterns

In kernel methods, all the information about the training data is contained in the Gram matrix. If this matrix has large diagonal values, which arises for many types of kernels, then kernel methods do not perf...

Bernhard Schölkopf, Jason Weston… in Principles of Data Mining and Knowledge Di… (2002)