IBM journal of research and development: information for authors

By R. Joenk. 1978

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Distraction-Based Neural Networks for Modeling Document (2016, methodology): “The upper part of the table includes the baseline results of a number of typical summarization algorithms, which we listed in the table as Luhn [Luhn, 1958], Edmundson [Edmundson, 1969], LSA [Steinberger and Jezek, 2004], Lex-rank [Erkan and Radev, 2004], Text-rank [Mihalcea and Tarau, 2004], Sumbas”
Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning (2019, methodology): “Classic board games such as Checkers and Chess were prominent in AI research since its inception and spurred the development of many important techniques (Turing 2004); for example, the ﬁrst reinforcement learning algorithm was developed to play Checkers (Samuel 1959).”
Imaging superconducting vortex cores and lattices with a scanning tunneling microscope (2014, unknown): “A STM requires a piezotube [164, 165] and a coarse motion system allowing to change the scanning window [166].”
Nonnegative Decomposition of Multivariate Information (2010, background): “The two main attempts to generalize information theory to multivariate interactions are the total correlation proposed by Watanabe [6] (also known as the multivariate constraint [7], multiinformation [8], and integration [9]) and the interaction information of McGill [10] (also known as multiple mut”