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Highly Cited

2018

Highly Cited

2018

Numerous deep learning applications benefit from multitask learning with multiple regression and classification objectives. In… Expand

Highly Cited

2015

Highly Cited

2015

We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from… Expand

Highly Cited

2004

Highly Cited

2004

This paper describes a Genetic Algorithms (GAs) approach to a manpower-scheduling problem arising at a major UK hospital… Expand

Highly Cited

2003

Highly Cited

2003

Error-correcting codes are fundamental tools used to transmit digital information over unreliable channels. Their study goes back… Expand

Highly Cited

2002

Highly Cited

2002

We introduce a new paradigm for the design of transmitter space-time coding that we refer to as linear precoding. It leads to… Expand

Highly Cited

1996

Highly Cited

1996

Iterative decoding of two-dimensional systematic convolutional codes has been termed "turbo" (de)coding. Using log-likelihood… Expand

Highly Cited

1992

Highly Cited

1992

First Published In 1962, This Wonderfully Provocative Book Introduced The Notion Of 'pseudo-events' -- Events Such As Press… Expand

Highly Cited

1975

Highly Cited

1975

Let \{(X_k, Y_k, V_k)\}_{k=1}^{\infty} be a sequence of independent copies of the triple (X,Y,V) of discrete random variables. We… Expand

Highly Cited

1972

Highly Cited

1972

A class of decoding algorithms that utilizes channel measurement information, in addition to the conventional use of the… Expand

Highly Cited

1972

Highly Cited

1972

This correspondence describes the construction of complex codes of the form exp i \alpha_k whose discrete circular… Expand