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Highly Cited

2011

Highly Cited

2011

Recurrent Neural Networks (RNNs) are very powerful sequence models that do not enjoy widespread use because it is extremely… Expand

Highly Cited

2010

Highly Cited

2010

Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix… Expand

Highly Cited

2006

Highly Cited

2006

A spin-1/2 system on a honeycomb lattice is studied. The interactions between nearest neighbors are of XX, YY or ZZ type… Expand

Highly Cited

2003

Highly Cited

2003

The capacity of multiple-input multiple-output (MIMO) wireless channels is limited by both the spatial fading correlation and… Expand

Highly Cited

2003

Highly Cited

2003

Continuous-time Markov chains (CTMCs) have been widely used to determine system performance and dependability characteristics… Expand

Highly Cited

2001

Highly Cited

2001

A system with many senders and receivers contains many new elements in the communication problem: interference, cooperation and… Expand

Highly Cited

1997

Highly Cited

1997

Probability and Random Variables Mathematical Description of Random Signals Response of Linear Systems to Random Inputs Wiener… Expand

Highly Cited

1989

Highly Cited

1975

Highly Cited

1975

Cross-impact analysis is a method for revising estimated probabilities of future events in terms of estimated interactions among… Expand

Highly Cited

1970

Highly Cited

1970

During the years since the first edition of this well-known monograph appeared, the subject (the geometry of the zeros of a… Expand