Search Results - "Rish, I"

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  1. 1

    Adaptive diagnosis in distributed systems by Rish, I., Brodie, M., Sheng Ma, Odintsova, N., Beygelzimer, A., Grabarnik, G., Hernandez, K.

    Published in IEEE transactions on neural networks (01-09-2005)
    “…Real-time problem diagnosis in large distributed computer systems and networks is a challenging task that requires fast and accurate inferences from…”
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    Journal Article
  2. 2

    Prediction and interpretation of distributed neural activity with sparse models by Carroll, Melissa K., Cecchi, Guillermo A., Rish, Irina, Garg, Rahul, Rao, A. Ravishankar

    Published in NeuroImage (Orlando, Fla.) (2009)
    “…We explore to what extent the combination of predictive and interpretable modeling can provide new insights for functional brain imaging. For this, we apply a…”
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    Journal Article
  3. 3

    Sparse Modeling in fMRI Analysis by Rish, I, Carroll, M.K., Cecchi, G.A., Garg, R., Rao, A.R., Asadi, N. Bani, Scheinberg, K.

    Published in NeuroImage (Orlando, Fla.) (01-07-2009)
    “…[...]we address the problem of learning interactions among voxels in the form of probabilistic graphical models, such as Markov networks (or Markov Random…”
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    Journal Article
  4. 4

    Map approach to learning sparse Gaussian Markov networks by Bani Asadi, N., Rish, I., Scheinberg, K., Kanevsky, D., Ramabhadran, B.

    “…Recently proposed l 1 -regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved…”
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    Conference Proceeding
  5. 5

    Proceedings of the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at NIPS 2015 by Rish, I, Wehbe, L, Langs, G, Grosse-Wentrup, M, Murphy, B, Cecchi, G

    Published 14-05-2016
    “…This volume is a collection of contributions from the 5th Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI) at the Neural Information…”
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    Journal Article
  6. 6

    Sparse signal recovery with exponential-family noise by Rish, I., Grabarnik, G.

    “…The problem of sparse signal recovery from a relatively small number of noisy measurements has been studied extensively in the recent literature on compressed…”
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    Conference Proceeding
  7. 7

    Real-time problem determination in distributed systems using active probing by Rish, I., Brodie, M., Odintsova, N., Sheng Ma, Grabarnik, G.

    “…We describe algorithms and an architecture for a real-time problem determination system that uses online selection of most-informative measurements - the…”
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    Conference Proceeding
  8. 8

    Estimating End-to-End Performance by Collaborative Prediction with Active Sampling by Rish, I., Tesauro, G.

    “…Accurately estimating end-to-end performance in distributed systems is essential both for monitoring compliance with service-level agreements (SLAs) and for…”
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    Conference Proceeding
  9. 9

    GRID Resource Consumption Estimates and Planning by Grabarnik, G., Kozakov, L., Lemberg, V., Rish, I., Shwartz, L.

    “…An estimation of task resource demands is an important area of research in Grid computing. Efficiency of managing and planning resources and tasks in…”
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    Conference Proceeding
  10. 10

    Empirical Study of Topology Effects on Diagnosis in Computer Networks by Odintsova, N., Rish, I.

    “…In this paper, we compare the efficiency of fault detection and diagnosis in networks having different topological properties, such as scale-free networks and…”
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    Conference Proceeding
  11. 11

    Evaluation of Optimization Methods for Network Bottleneck Diagnosis by Beygelzimer, A., Kephart, J., Rish, I.

    “…We consider the problem of localizing network performance bottlenecks and evaluate how various optimization techniques developed for reconstructing link delays…”
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    Conference Proceeding
  12. 12

    Test-based diagnosis: tree and matrix representations by Beygelzimer, A., Brodie, M., Sheng Ma, Rish, I.

    “…A common problem encountered in many application scenarios is how to represent some prior knowledge about a system in order to determine its true state as…”
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    Conference Proceeding
  13. 13

    Improving network robustness by Beygelmizer, A., Grinstein, G., Linsker, R., Rish, I.

    “…We present a simple, fully decentralized approach to improving robustness of existing unstructured overlay networks against a selective deletion of nodes…”
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    Conference Proceeding
  14. 14
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  16. 16

    Unlocking the Therapeutic Potential of BCL-2 Associated Protein Family: Exploring BCL-2 Inhibitors in Cancer Therapy by Bisan El Dakkak, Jalal Taneera, Waseem El-huneidi, Eman Abu-gharbieh, Rifat Hamoudi, Mohammad H. Semreen, Nelson C. Soares, Eman Y. Abu-rish, Mahmoud Y. Alkawareek, Alaaldin M. Alkilany, Yasser Bustanji

    Published in Biomolecules & therapeutics (01-05-2024)
    “…Apoptosis, programmed cell death pathway, is a vital physiological mechanism that ensures cellular homeostasis and overall cellular well-being. In the context…”
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    Journal Article