CBCL

Results: 197



#Item
161Linear algebra / Singular value decomposition / Abstract algebra / Statistical classification / Multivariate statistics / Support vector machine / Pattern recognition / Feature selection / Principal component analysis / Algebra / Statistics / Mathematics

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL

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Source URL: cbcl.mit.edu

Language: English - Date: 2001-04-10 14:19:44
162Gene expression / Microarrays / Molecular biology / Machine learning / Multivariate statistics / Ridge / Gene expression profiling / Unsupervised learning / Cluster analysis / Biology / Statistics / Biochemistry

Selecting Relevant Genes with a Spectral Approach massachusetts institute of technology — computer science and artificial intelligence laboratory Lior Wolf, Amnon Shashua

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Source URL: cbcl.mit.edu

Language: English - Date: 2004-10-06 13:53:53
163

@ MIT massachusetts institute of technology — artificial intelligence laboratory Towards Man-Machine Interfaces: Combining Top-down Constraints

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Source URL: cbcl.mit.edu

Language: English - Date: 2004-10-06 13:52:29
    164Signal processing / Linear algebra / Hilbert space / Kernel principal component analysis / Kernel / Reproducing kernel Hilbert space / Linux kernel / Bag of words model in computer vision / Multivariate kernel density estimation / Statistics / Mathematics / Algebra

    Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-290 July 30, 2010

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    Source URL: cbcl.mit.edu

    Language: English - Date: 2010-08-23 13:55:54
    165Linguistics / Reading / Knowledge / Special education / Dyslexia / Jerome Lettvin / Child development / Neurological research into dyslexia / Education / Developmental dyslexia / Educational psychology

    massachusetts institute of technology — computer science and artificial intelligence laboratory Towards the Prevention of Dyslexia Gadi Geiger & Domenic G. Amara AI Memo[removed]

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    Source URL: cbcl.mit.edu

    Language: English - Date: 2005-11-16 15:21:09
    166Ordinary differential equations / Spectral theory of ordinary differential equations / Symbol / Spectral theory / Mathematical analysis / Operator theory

    Computer Science and Artificial Intelligence Laboratory Technical Report MIT-CSAIL-TR[removed]CBCL-265 September 10, 2006

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    Source URL: cbcl.mit.edu

    Language: English - Date: 2006-10-02 15:46:24
    167Biology / Mind / Neuroscience / Nervous system / Biological neural network / Cognition / Gaussian function / Neural coding / Visual cortex / Neural networks / Anatomy / Computational neuroscience

    massachusetts institute of technology — computer science and artificial intelligence laboratory A General Mechanism for Tuning: Gain Control Circuits and Synapses Underlie Tuning of Cortical Neurons

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    Source URL: cbcl.mit.edu

    Language: English - Date: 2005-07-25 15:56:52
    168Classical cipher / Spectral theory of ordinary differential equations / Mathematical analysis / Mathematics / Operator theory

    /mit/cbcl-neuro/fragments/code/sample5x5Prototypes.eps

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    Source URL: cbcl.mit.edu

    Language: English - Date: 2004-10-06 13:53:44
    169Computer vision / One-shot learning / Object recognition / Support vector machine / Visual cortex / Object database / Constellation model / Statistical classification / Boosting methods for object categorization / Artificial intelligence / Vision / Optics

    massachusetts institute of technology — computer science and artificial intelligence laboratory A New Biologically Motivated Framework for Robust Object Recognition Thomas Serre, Lior Wolf and Tomaso Poggio

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    Source URL: cbcl.mit.edu

    Language: English - Date: 2005-02-02 13:01:24
    170Learning / Stability / Statistics / Leave one out error / Computational learning theory / Probability theory / Empirical risk minimization / Supervised learning / Convergence of random variables / Mathematics / Mathematical analysis / Machine learning

    Statistical Learning : stability is sufficient for generalization and necessary and sufficient for consistency of Empirical Risk Minimization Sayan Mukherjee †, Partha Niyogi⊥ , Tomaso Poggio†1 and Ryan Rifkin †

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    Source URL: cbcl.mit.edu

    Language: English - Date: 2004-10-15 11:02:54
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