D. Horn

发表

Support Vector Clustering

Hava T. Siegelmann, David Horn, Asa Ben-Hur, 2002, J. Mach. Learn. Res..

Orientation selective neural network for cosmic muon identification

D. Horn, H. Abramowicz, U. Naftaly, 1997 .

Algorithm for data clustering in pattern recognition problems based on quantum mechanics.

Assaf Gottlieb, D. Horn, A. Gottlieb, 2001, Physical review letters.

Systematic Analysis of Compositional Order of Proteins Reveals New Characteristics of Biological Functions and a Universal Correlate of Macroevolution

David Horn, Erez Persi, D. Horn, 2013, PLoS Comput. Biol..

Automatic Acquisition and Efficient Representation of Syntactic Structures

Eytan Ruppin, Shimon Edelman, David Horn, 2002, NIPS.

Bridging computational, formal and psycholinguistic approaches to language

Eytan Ruppin, Shimon Edelman, David Horn, 2004 .

Dynamical symmetries and temporal segmentation

D. Horn, I. Opher, 1995 .

Dynamic Proximity of Spatiotemporal Patterns

G. Dror, D. Horn, 2022 .

The COMBREX Project: Design, Methodology, and Initial Results

Michael Y. Galperin, S. Salzberg, R. Greiner, 2013, PLoS biology.

Genomic DNA k-mer spectra: models and modalities

B. Chor, D. Horn, T. Massingham, 2009, Genome Biology.

Common peptides shed light on evolution of Olfactory Receptors

Assaf Gottlieb, D. Horn, D. Lancet, 2009, BMC Evolutionary Biology.

Multimodular networks and semantic memory impairments.

E. Ruppin, D. Horn, N. Levy, 1999, Progress in brain research.

Learning Syntactic Constructions from Raw Corpora

Eytan Ruppin, Shimon Edelman, David Horn, 2004 .

Extra-pyramidal symptoms in Alzheimer's disease: a hypothesis.

E Ruppin, E. Ruppin, D. Horn, 1992, Medical hypotheses.

Taxa Counting Using Specific Peptides of Aminoacyl tRNA Synthetases

D. Horn, 2014 .

Segmentation and Binding in Oscillatory Neural Systems

David Horn, Irit Opher, D. Horn, 1995 .

Dynamic Quantum Clustering: A Tool for Unsupervised Exploration of Structures in Data

D. Horn, M. Weinstein, 2008 .

Associative memory in a multi-modular network.

E. Ruppin, D. Horn, N. Levy, 1999, Neural computation.

COMPUTATIONAL STUDIES OF SYNAPTIC ALTERATIONS IN ALZHEIMER'S DISEASE

Eytan Ruppin, James A. Reggia, Nir Levy, 1996 .

Peptide markers of aminoacyl tRNA synthetases facilitate taxa counting in metagenomic data

D. Horn, Erez Persi, Shiri Freilich, 2012, BMC Genomics.

Mutation–selection balance and compensatory mechanisms in tumour evolution

E. Koonin, Y. Wolf, E. Ruppin, 2020, Nature Reviews Genetics.

Hierarchical Partitioning of Metazoan Protein Conservation Profiles Provides New Functional Insights

B. Chor, D. Horn, Erez Persi, 2014, PloS one.

Finite matrix models with continuous local gauge invariance

D. Horn, 1981 .

Common Peptides Study of Aminoacyl-tRNA Synthetases

Assaf Gottlieb, D. Horn, M. Frenkel-Morgenstern, 2011, PloS one.

The Weight-Shape decomposition of density estimates: A framework for clustering and image analysis algorithms

David Horn, Lior Deutsch, D. Horn, 2018, Pattern Recognit..

Mining and Information Extraction Novel Unsupervised Feature Filtering of Biological Data

Assaf Gottlieb, M. Linial, D. Horn, 2006 .

Strong Interactions at Very High Energies

D. Horn, 1974 .

Symmetries in the inclusive exchange region

D. Horn, 1972 .

MULTIPERIPHERAL AND POLYPERIPHERAL APPROACHES TO PIONIZATION.

D. Horn, S. Nussinov, M. Bishari, 1972 .

Viral photosynthetic reaction center genes and transcripts in the marine environment

Shibu Yooseph, Yael Mandel-Gutfreund, Michael Shmoish, 2007, The ISME Journal.

An orientation selective neural network and its application to cosmic muon identification

Astronomy, Hamburg, D. Horn, 1996, hep-ex/9602006.

t/s scaling in strong interactions

D. Horn, M. Moshe, 1972 .

Hamiltonian approach to Z (N) lattice gauge theories

D. Horn, M. Weinstein, S. Yankielowicz, 1979 .

Giant-quark model

D. Horn, 1969 .

Modified Quark Models

D. Horn, 1969 .

Conserved vector currents and invariance properties in Lagrangian field theory

D. Horn, 1965 .

On the ratio between S = - Q and S = 2 decay amplitudes

D. Horn, 1964 .

Neuronal regulation versus synaptic unlearning in memory maintenance mechanisms.

E Ruppin, E. Ruppin, D. Horn, 1998, Network.

Specific peptides facilitate metagenomic analysis

D. Horn, Erez Persi, Uri Weingart, 2011 .

Novel Clustering Algorithm for Microarray Expression Data in A Truncated SVD Space

David Horn, Inon Axel, D. Horn, 2003, Bioinform..

Quantum Clustering

D. Horn, A. Gottlieb, 2001, physics/0107063.

The Method of Quantum Clustering

David Horn, Assaf Gottlieb, D. Horn, 2001, NIPS.

2 5 Ju l 2 00 1 Quantum Clustering

D. Horn, A. Gottlieb, 2022 .

Memory Maintenance via Neuronal Regulation

Eytan Ruppin, Nir Levy, David Horn, 1998, Neural Computation.

Nucleotide variation of regulatory motifs may lead to distinct expression patterns

Eytan Ruppin, David Horn, Yitzhak Pilpel, 2007, ISMB/ECCB.

Many-particle production

D. Horn, 1972 .

Dynamic memory maintenance

Eytan Ruppin, Nir Levy, David M. Horn, 1998 .

Proteomic and genomic signatures of repeat instability in cancer and adjacent normal tissues

E. Koonin, Y. Wolf, M. Rubin, 2019, Proceedings of the National Academy of Sciences.

Proteomic and Genomic Signatures of Repeat-instability in Cancer and Adjacent Normal Tissues

E. Koonin, Y. Wolf, M. Rubin, 2018, bioRxiv.

Evolution of language diversity : the survival of the fitness

Eytan Ruppin, Shimon Edelman, Zach Solan, 2002 .

Unsupervised feature selection under perturbations: meeting the challenges of biological data

Michal Linial, David Horn, Roy Varshavsky, 2007, Bioinform..

Networks of complex neurons

David Horn, D. Horn, 1993 .

Segmentation, Binding, and Illusory Conjunctions

M. Usher, D. Horn, D. Sagi, 1991, Neural Computation.

Reggeon phases and the dual bootstrap program

D. Horn, S. Feinberg, 1977 .

Functional Representation of Enzymes by Specific Peptides

Eytan Ruppin, David Horn, Yasmine Meroz, 2007, PLoS Comput. Biol..

Deriving enzymatic and taxonomic signatures of metagenomes from short read data

David Horn, Erez Persi, Uri Weingart, 2010, BMC Bioinformatics.

Data mining of enzymes using specific peptides

David Horn, Uri Weingart, Yair Lavi, 2009, BMC Bioinformatics.

EMPIRICAL EVIDENCE AND THEORETICAL ANALYSIS OF FEATURE CREATION DURING CATEGORY ACQUISITION

Michael Fink, G. Ben-Shakhar, D. Horn, 2004 .

A support vector clustering method

Hava T. Siegelmann, David Horn, Vladimir Vapnik, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

A Support Vector Method for Clustering

Hava T. Siegelmann, David Horn, Vladimir Vapnik, 2000, NIPS.

Novel Unsupervised Feature Filtering of Biological Data

Michal Linial, David Horn, Roy Varshavsky, 2006, ISMB.

Global Considerations in Hierarchical Clustering Reveal Meaningful Patterns in Data

Michal Linial, Roy Varshavsky, David Horn, 2008, PloS one.

Unsupervised learning of natural languages

Eytan Ruppin, Shimon Edelman, Zach Solan, 2006 .

Bosonization of the SU(N) Thirring models

D. Horn, H. Neuberger, T. Banks, 1976 .

Oscillatory Model of Short Term Memory

Marius Usher, David Horn, M. Usher, 1991, NIPS.

Associative Memory in a Multimodular Network

Eytan Ruppin, Nir Levy, David Horn, 1999, Neural Computation.

Associative memory in a multi-modular network.

E. Ruppin, D. Horn, N. Levy, 1999, Neural Computation.

Mean field analysis of hamiltonian SU(2) lattice gauge theory

D. Horn, K. Karliner, 1984 .

Modeling of Synchronized Bursting Events: The Importance of Inhomogeneity

Eshel Ben-Jacob, David Horn, Erez Persi, 2004, Neural Computation.

Neural modeling of synchronized bursting events

David Horn, Eshel Ben-Jacob, Erez Persi, 2004, Neurocomputing.

Canonical and gauge symmetries of phase transitions

D. Horn, M. Karliner, 1982 .

The axial glueball in lattice QCD

D. Horn, A. Klatchko, C. V. D. Doel, 1986 .

The t-Expansion and Lattice QCD

D. Horn, 1986 .

Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease

Eytan Ruppin, Nir Levy, David Horn, 1996, Neural Computation.

Finite Energy Sum Rules — Use and Interpretation

D. Horn, 1969 .

Variational approach to the Z(2) gauge theory

D. Horn, E. Katznelson, 1980 .

Gauge and matter screening in a Z(2) theory

D. Horn, S. Yankielowicz, 1979 .

Self-dual renormalization group analysis of the Potts models

D. Horn, M. Karliner, S. Yankielowicz, 1980 .

Complex dynamics of neuronal thresholds

David Horn, Irit Opher, D. Horn, 2000, Neurocomputing.

Dual approach to Regge dips

D. Horn, J. Weyers, M. Jacob, 1971 .

Generalized unitarity and low-energy theorems

D. Horn, M. Jacob, 1968 .

Overlapping resonances in e+e− annihilation

D. Horn, Y. Dothan, 1976 .

Field Formulation of Parzen Data Analysis

D. Horn, 2018, 1808.08776.

Capacities of multiconnected memory models

M. Usher, D. Horn, M. Usher, 1988 .

Neural Network Modeling of Memory Deterioration in Alzheimer's Disease

Marius Usher, Eytan Ruppin, David Horn, 1993, Neural Computation.

Rich Syntax from a Raw Corpus: Unsupervised Does It

Eytan Ruppin, Shimon Edelman, David Horn, 2003 .

Some Tests of an Unsupervised Model of Language Acquisition

Shimon Edelman, Zach Solan, Bo Pedersen, 2004 .

Unsupervised context sensitive language acquisition from large, untagged corpora

Eytan Ruppin, Shimon Edelman, Zach Solan, 2003 .

Optimal ensemble averaging of neural networks

Nathan Intrator, Ury Naftaly, David Horn, 1997 .

Combined Neural Networks for Time Series Analysis

David Horn, Iris Ginzburg, D. Horn, 1993, NIPS.

Learnability of times series

I. Ginzberg, D. Horn, D. Horn, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Memory Capacity of Balanced Networks

Moshe Abeles, David Horn, Yuval Aviel, 2005, Neural Computation.

Synfire waves in small balanced networks

Moshe Abeles, David Horn, Yuval Aviel, 2004, Neurocomputing.

On Embedding Synfire Chains in a Balanced Network

Moshe Abeles, David Horn, Carsten Mehring, 2003, Neural Computation.

Fast Temporal Encoding and Decoding with Spiking Neurons

David Horn, Sharon Levanda, D. Horn, 1998, Neural Computation.

Unsupervised Context Sensitive Language Acquisition from a Large Corpus

Eytan Ruppin, Shimon Edelman, David Horn, 2003, NIPS.

Distributed synchrony in a cell assembly of spiking neurons

Isaac Meilijson, Eytan Ruppin, Nir Levy, 2001, Neural Networks.

Can Dynamic Neural Filters Produce Pseudo-Random Sequences?

Yishai M. Elyada, David Horn, D. Horn, 2005, ICANN.

An Orientation Selective Neural Network for Pattern Identification in Particle Detectors

David Horn, Ury Naftaly, Halina Abramowicz, 1996, NIPS.

Analyzing Big Data with Dynamic Quantum Clustering pdf

David Horn, Erez Persi, Marvin Weinstein, 2013, ArXiv.

Dynamic quantum clustering: a method for visual exploration of structures in data

David Horn, Marvin Weinstein, D. Horn, 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

Collective excitation phenomena and their applications

David Horn, Irit Opher, D. Horn, 1999 .

NEURAL COMPUTATION METHODS AND APPLICATIONS : SUMMARY TALK OF THE AI SESSION

David Horn, D. Horn, 1997 .

Analysis of the Mueller-Regge model☆

D. Horn, Y. Goren, S. Feinberg, 1975 .

Associative Memory and Segmentation in an Oscillatory Neural Model of the Olfactory Bulb

Misha Tsodyks, David Horn, Ofer Hendin, 1998, Journal of Computational Neuroscience.

The Role of Inhibition in an Associative Memory Model of the Olfactory Bulb

Misha Tsodyks, David Horn, Ofer Hendin, 1997, Journal of Computational Neuroscience.

Dynamic proximity of spatio-temporal sequences

Gideon Dror, David Horn, Brigitte Quenet, 2004, IEEE Transactions on Neural Networks.

Unsupervised Efficient Learning and Representation of Language Structure

Eytan Ruppin, Shimon Edelman, David Horn, 2003 .

Large Ensemble Averaging

Nathan Intrator, David Horn, Ury Naftaly, 1996, Neural Networks.

COMPACT: A Comparative Package for Clustering Assessment

Michal Linial, David Horn, Roy Varshavsky, 2005, ISPA Workshops.

Neural networks with dynamical thresholds.

Horn, M. Usher, D. Horn, 1989, Physical review. A, General physics.

Synfire chain in a balanced network

Moshe Abeles, David Horn, Elan Pavlov, 2002, Neurocomputing.

Clustering via Hilbert space

David Horn, D. Horn, 2001 .

Inversion symmetry of DNA k-mer counts: validity and deviations

B. Chor, D. Horn, Sagi Shporer, 2016, BMC Genomics.

Compensatory Mechanisms in an Attractor Neural Network Model of Schizophrenia

Eytan Ruppin, David Horn, E. Ruppin, 1995, Neural Computation.

The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity

Moshe Abeles, David Horn, Yuval Aviel, 2003, NIPS.

Chaotic Behavior of A Neural Network with Dynamical Thresholds

Marius Usher, David Horn, Ofer Hendin, 1991, Int. J. Neural Syst..

Excitatory-Inhibitory Networks with Dynamical Thresholds

Marius Usher, David Horn, M. Usher, 1990, Int. J. Neural Syst..

Dynamic Proximity of Spatiotemporal Sequences

D. Horn, 2022 .

Maximum entropy approach to probability density estimation

David Horn, Gad Miller, D. Horn, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

Unsupervised learning of natural languages

S. Edelman, E. Ruppin, D. Horn, 2009, Proc. Natl. Acad. Sci. USA.