Distributed Patterns as Hierarchical Structures

Keywords

Connectionism, Computer science, Associative property, Representation (politics), Generalization

References

• Symbolic parsing via subsymbolic rulesStan C. Kwasny, Kanaan A. Faisal — 1992
• Super Linear Learning in Back Propagation Neural NetsBarry L. Kalman — 1990
• Tree matching with recursive distributed representationsAndreas Stolcke, Dekai Wu — 1992
• Exploring the Symbolic/Subsymbolic Continuum: A case study of RAAMDouglas Blank, Lisa Meeden, James B. Marshall — 1992
• Recursive Distributed RepresentationsJordan Pollack — 1990
• The Art of Computer Programming, Volume I: Fundamental Algorithms, 2nd EditionRobert E. Odeh, Donald E. Knuth — 1997
• Implications of Recursive Distributed RepresentationsJordan Pollack — 1988
• Finding Structure in TimeJeffrey L. Elman — 1990
• The art of computer programmingDonald William Drury — 1983
• The art of computer programming: V.1.: Fundamental algorithmsD. Knuth — 1997

Cited by

• Online Semantic Extraction by Backpropagation Neural Network with Various Syntactic Structure RepresentationsHeidi H. T. Yeung — 2004
• TRAINREC: A System for Training Feedforward & Simple Recurrent Networks Efficiently and CorrectlyBarry L. Kalman — 1993
• High performance training of feedforward and simple recurrent networksBarry L. Kalman, Stan C. Kwasny — 1997
• Tail-recursive Distributed Representations and Simple Recurrent NetworksStan C. Kwasny, Barry L. Kalman — 1995
• An artificial immune system model for intelligent agentsRoger L. King, Samuel H. Russ, Aric B. Lambert — 2001
• Distributed Representation of Syntactic Structure by Tensor Product Representation and Non-Linear CompressionHeidi H. T. Yeung, P.W.M. Tsang — 2004
• Input Variable Selection Using Parallel Processing of RBF Neural NetworksMohammed Awad, H. Pomares, Ignacio Rojas — 2010
• An Artificial Immune System Model for Task AllocationS. Russ, Aric B. Lambert, R. King — 2007
• Input Variable Selection Using Parallel Processing of RBF Neural NetworksMohammed Awad — 2010
• Input Variable Selection in Hierarchical RBF NetworksM. Awad, H. Pomares, I. Rojas — 2005
• 1 Predictive Scheduling for Distributed ComputingS. Russ, Aric B. Lambert, J. Camenisch — 2007

Related papers

• Improved chaotic associative memory using distributed patterns for image retrievalY. Osana — 2003
• Chaotic associative memory for sequential patternsY. Osana, Masafumi Hagiwara — 1999
• Chaotic associative memory using distributed patterns for image retrieval by shape informationS. Kosuge, Y. Osana — 2004
• Symbolic Memory of Motion Patterns using Hierarchical Bifurcations of Attanctors in an Associative Memory ModelHideki Kadone, Yoshihiko Nakamura — 2007
• Kohonen feature map associative memory with area representation for sequential analog patternsTomonori Shiratori, Yuko Osana — 2008
• Chaotic associative memory using distributed patterns for image retrievalY. Osana — 2002
• Configuring interaction of memorized patterns with an asymmetric Hebbian rule for recurrent neural networksT. Ishii, Kazuo Kyuma — 1996
• A new multidirectional associative memory based on distributed representation and its applicationsJiongtao Huang, Masafumi Hagiwara — 1999