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Browsing College of Arts and Sciences by Title

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Browsing College of Arts and Sciences by Title

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  • Ratnam, Karunaharan; Matta, Ibrahim; Rangarajan, Sampath (Boston University Computer Science Department, 1999-08-24)
    In [previous papers] we presented the design, specification and proof of correctness of a fully distributed location management scheme for PCS networks and argued that fully replicating location information is both appropriate ...
  • Asfour, Yousif R.; Carpenter, Gail A.; Grossberg, Stephen; Lesher, Gregory (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    Fusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Single-channel Fusion ARTMAP is functionally equivalent to Fuzzy ART during unsupervised learning and to Fuzzy ...
  • Asfour, Yousif R.; Carpenter, Gail A.; Grossberg, Stephen; Lesher, Gregory W. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-08)
    Fusion ARTMAP is a self-organizing neural network architecture for multi-channel, or multi-sensor, data fusion. Fusion ARTMAP generalizes the fuzzy ARTMAP architecture in order to adaptively classify multi-channel data. ...
  • Fuzzy ART 
    Carpenter, Gail A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-12-15)
    Adaptive Resonance Theory (ART) models are real-time neural networks for category learning, pattern recognition, and prediction. Unsupervised fuzzy ART and supervised fuzzy ARTMAP synthesize fuzzy logic and ART networks ...
  • Carpenter, Gail A.; Gjaja, Marin N. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-12)
    Adaptive Resonance Theory (ART) models are real-time neural networks for category learning, pattern recognition, and prediction. Unsupervised fuzzy ART and supervised fuzzy ARTMAP networks synthesize fuzzy logic and ART ...
  • Carpetner, Gail A.; Grossberg, Stephen; Rosen, David B. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    The Fuzzy ART system introduced herein incorporates computations from fuzzy set theory into ART 1. For example, the intersection (n) operator used in ART 1 learning is replaced by the MIN operator (A) of fuzzy set theory. ...
  • Carpenter, Gail; Grossberg, Stephen; Rosen, David (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-06)
    A Fuzzy ART model capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns is described. Fuzzy ART incorporates computations from fuzzy set theory ...
  • Carpenter, Gail A.; Grossberg, Stephen; Reynolds, John H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-10)
    An incremental, nonparametric probability estimation procedure using the fuzzy ARTMAP neural network is introduced. In slow-learning mode, fuzzy ARTMAP searches for patterns of data on which to build ever more accurate ...
  • Carpenter, Gail A.; Grossberg, Stephen; Reynolds, John H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    A nonparametric probability estimation procedure using the fuzzy ARTMAP neural network is here described. Because the procedure does not make a priori assumptions about underlying probability distributions, it yields ...
  • Carpenter, Gail A.; Grossberg, Stephen; Markuzon, Natalya; Reynolds, John H.; Rosen David B. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-08)
    A new neural network architecture is introduced for incremental supervised learning of recognition categories and multidimensional maps in response to arbitrary sequences of analog or binary input vectors. The architecture, ...
  • Wright, George Ernest (2010-03-24)
    This collection primarily contains correspondence from Wright’s years as president of ASOR. Material dates as far back as 1957, and proceed into the early 1970’s. Some of Wright’s more notable correspondents include ...
  • Przybyszewski, Andrzej W.; Rubin, Mark A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-05)
    Anatomical studies have documented massive back-projections from higher to lower visual cortices and to the lateral geniculate nucleus (LGN). The large number of synapses from these sources suggest that they should have a ...
  • Williamson, James R. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-02)
    A new neural network architecture for incremental supervised learning of analalog multidimensional maps is introduced. The architecture, called Gaussian ARTMAP, is a synthesis of a Gaussian classifier and an Adaptive ...
  • Chiu, Tsu-Pei; Yang, Lin; Zhou, Tianyin; Main, Bradley; Parker, Stephen C.J.; Nuzhdin, Sergey V.; Tullius, Thomas D.; Rohs, Remo (Oxford University Press, 2014-10-17)
    Many regulatory mechanisms require a high degree of specificity in protein-DNA binding. Nucleotide sequence does not provide an answer to the question of why a protein binds only to a small subset of the many putative ...
  • Esposito, Flavio; Di Paola, Donato; Matta, Ibrahim (Computer Science Department, Boston University, 2012-07-30)
    The challenge of deploying and managing virtualization based network services (slices) recently spurred interest in both the business and the research communities. To provide wide-area network services, resources from ...
  • Jahama, Said; Kfoury, A. J. (Boston University Computer Science Department, 1993-12-20)
    Various restrictions on the terms allowed for substitution give rise to different cases of semi-unification. Semi-unification on finite and regular terms has already been considered in the literature. We introduce a general ...
  • Papapetrou, Panagiotis; Benson, Gary; Kollios, George (Boston University Computer Science Department, 2008-10-21)
    The problem of discovering frequent poly-regions (i.e. regions of high occurrence of a set of items or patterns of a given alphabet) in a sequence is studied, and three efficient approaches are proposed to solve it. The ...
  • Considine, Jeffrey (Boston University Computer Science Department, 2001-10-30)
    Fast forward error correction codes are becoming an important component in bulk content delivery. They fit in naturally with multicast scenarios as a way to deal with losses and are now seeing use in peer to peer networks ...
  • Wang, Chong; Byers, John W. (Boston University Computer Science Department, 2007)
    Understanding and modeling the factors that underlie the growth and evolution of network topologies are basic questions that impact capacity planning, forecasting, and protocol research. Early topology generation work ...
  • Barford, Paul; Crovella, Mark (Boston University Computer Science Department, 1997-12-31)
    One role for workload generation is as a means for understanding how servers and networks respond to variation in load. This enables management and capacity planning based on current and projected usage. This paper applies ...

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