Filters
Stacked Structure Learning for Lifted Relational Neural Networks
in the training examples as well as invented soft concepts entailed by the best weighted rules useful hierarchical soft concepts leading to deep LRNNs with a competitive predictive weighted first-order rules
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2018 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Self-Organized Sparse Distributed Memory -- an Application
The paper discuses an extension of Kanerva's Sparse Distributed Memory (SDM) and introduces possible application in storage and retrieval sequences (predicting). A self-organizing SDM equivalent to a three-layered neural network is used to learn<...
JC - Počítačový hardware a software
- 1999 •
- D
Rok uplatnění
D - Stať ve sborníku
Self-Organizing Sparse Distributed Memory as a Predictive Memory
The paper discuses an extension of Kanerva's Sparse Distributed Memory (SDM) and introduces possible application in prediction. A self-organizing SDM equivalent to a three-layered neural network is used to learn the desired transfer function...
JC - Počítačový hardware a software
- 1999 •
- D
Rok uplatnění
D - Stať ve sborníku
Leniency program as one of the manifestations of soft law on competition
the interpretation soft law and its source. Then the author aims at the Leniency Programme that is applied in the competition law and belongs to the soft law. The Leniency programmeThis paper deals with the soft l...
AG - Právní vědy
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Supervised Competition Using Joined Growing Neural Gas
Competitive learning is well-known method to process data. Various goals may be achieved using competi- tive learning such as classifcation or vector quantiza- tion. In this paper, we present a different insight into the pr...
IN - Informatika
- 2014 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
Artificial Intelligence Algorithms for Classification and Pattern Recognition
Artificial Neural Network, Boosting, Classifier, Diversity of Classifiers, Soft Computing...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- C •
- Link
Rok uplatnění
C - Kapitola v odborné knize
Výsledek na webu
Learning Decision Rules from Data Streams
Decision rules, which can provide good interpretability and flexibility for data mining tasks, have received very little attention in the stream mining community so far. This work introduces a decision rule list learner fitted for l...
IN - Informatika
- 2011 •
- D
Rok uplatnění
D - Stať ve sborníku
Soft identification of experts in DBLP using FCA and fuzzy rules
on keywords and fuzzy rules to learn the properties of the authors and to enhance the setThis study introduces a new soft computing method for expert identification in social networks based on formal concept analysis and f...
IN - Informatika
- 2012 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Learning in Mechatronic Conceptions
of the most interesting ideas of learning used in soft computing is introduced as a platform of the realization of control algorithms especially increasingly runs the soft computing algorithms. Soft computing diff...
JD - Využití počítačů, robotika a její aplikace
- 2001 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Mechatronics Handbook
of the most interesting ideas of learning used in soft computing is introduced as a platform of the realization of control algorithms especially increasingly runs the soft computing algorithms. Soft computing diff...
JD - Využití počítačů, robotika a její aplikace
- 2002 •
- C
Rok uplatnění
C - Kapitola v odborné knize
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