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Showing 1 to 20 of 81 for “"Partial information"”.

  1. Approximate signal reconstruction from partial information

    … A signal may be coded more efficiently if side information is included with the signal during transmission. This side information can then be used to reconstruct the image at some later time. In this thesis, the type of transform coding used is Multiple Bases Representation (MBR). This coding …

    vt Repository record for Approximate signal reconstruction from partial information (opens in a new tab)

  2. Secondary Voltage Control Using Partial Information Structures

    … is a method of voltage control which uses a partial information structure. In this method, the information available to the controller is the set of voltages at a small set of busses in the system called pilot points. The information from the pilot points is then used in a hierarchical …

    uiuc Repository record for Secondary Voltage Control Using Partial Information Structures (opens in a new tab)

  3. Verification of Pointer-Based Programs with Partial Information

    … still remain in achieving this objective, partially due to the wide use of (recursive) shared mutable data structures which are hard to keep track of statically in a precise and concise way. This thesis aims at building a verification system for both memory safety and functional correctness …

    durham Repository record for Verification of Pointer-Based Programs with Partial Information (opens in a new tab)

  4. A combined approach for hiding partial information in RSA

    Partial information leakage in deterministic public-key cryptosystems refers to a problem that arises when information about either the plaintext or the key is leaked in subtle ways. Quite a common case is where there are a small number of possible messages that may be sent. An attacker may be able …

    aston Repository record for A combined approach for hiding partial information in RSA (opens in a new tab)

  5. Analyzing Multimodal Interactions through Improved Partial Information Decomposition Estimation

    … to build comprehensive models by integrating information from diverse sensory inputs such as text, audio, and vision. However, significant challenges remain in understanding how these different modalities interact and contribute to downstream tasks. In particular, we seek to characterize how …

    mit Repository record for Analyzing Multimodal Interactions through Improved Partial Information Decomposition Estimation (opens in a new tab)

  6. Acoustic-phonetic and lexical constraints in word recognition: lexical access using partial information

    Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1984

    mit Repository record for Acoustic-phonetic and lexical constraints in word recognition: lexical access using partial information (opens in a new tab)

  7. Business cycles, interest rates and market volatility : estimation and forecasting using DSGE macroeconomic models under partial information

    … novel solution for DSGE models with imperfect, partial information about the current values of deep variables and shocks, and apply this solution to imperfectly informed multiple agents with their different, inner-rationality models. Along these lines, this research also shows that DSGE models …

    london-metro Repository record for Business cycles, interest rates and market volatility : estimation and forecasting using DSGE macroeconomic models under partial information (opens in a new tab)

  8. An investigation of the relationships of test characteristics and personality variables to partial information and misinformation in multiple-choice test scores

    … procedures is that the direct inclusion of partial information in test scores provides additional information about levels of examinee knowledge and, therefore, ought to enhance test characteristics. Alternatively, however, the observed increases in test reliability may result from the …

    vt Repository record for An investigation of the relationships of test characteristics and personality variables to partial information and misinformation in multiple-choice test scores (opens in a new tab)

  9. Hidden Number Problems

    … mathematical cryptology that studies leakage of information in cryptographic systems. Of particular interest are public-key cryptosystems, where the study revolves around the information about the private keys that the public keys leak. Ideally no information is leaked, or more precisely …

    auckland-ms Repository record for Hidden Number Problems (opens in a new tab)

  10. Separability as a modeling paradigm in large probabilistic models

    … work with models that allow the propagation of partial information, e.g. marginal distributions, expectations, higher-moments, or cross-correlations, as derived from the joint distribution for the network state. This thesis develops and rigorously investigates the notion of separability, …

    mit Repository record for Separability as a modeling paradigm in large probabilistic models (opens in a new tab)

  11. Value of information for targeting agro-pollution control: a case study of the lower Susquehanna watershed

    … control costs. The potential to use better information to reduce costs of achieving a regulatory performance standard was evaluated. Using the Lower Susquehanna watershed as a case study, three strategies to target reductions in nitrogen runoff from dairy farms were studied: 1) no …

    vt Repository record for Value of information for targeting agro-pollution control: a case study of the lower Susquehanna watershed (opens in a new tab)

  12. Conditional dynamics of non-Markovian, infinite-server queues

    We study the transient dynamics of a partially observed, infinite server queue fed with a Poisson arrival process whose controlled rate is changed at discrete points in time. More specifically, we define a state that incorporates partial information from the history of the process and write …

    mit Repository record for Conditional dynamics of non-Markovian, infinite-server queues (opens in a new tab)

  13. 3D tooth surface reconstruction

    … to reconstruct the surface of a tooth given partial information about its 3D shape (e.g., crown or root information). The shape and deformations of a set of specimens representative of the kind of tooth to reconstruct are learnt offline through statistical analysis, leading to the creation of …

    nus Repository record for 3D tooth surface reconstruction (opens in a new tab)

  14. Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats

    … are unable or unwilling to assess trade-off information precisely. The primary aim is to investigate the use of Stochastic Multi-criteria Acceptability Analysis (SMAA) with simplified representations of uncertainty as a decision support tool for prescriptive modelling in 'low involvement' …

    cape-town Repository record for Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats (opens in a new tab)

  15. The inner life of goals : costs, rewards, and commonsense psychology

    … ability to infer costs and rewards given partial information, their reasoning about knowledgeable versus ignorant agents, and their reasoning about the moral status of agents. Moreover, a formal model of this theory, embedded in a Bayesian framework, predicts with quantitative accuracy how …

    mit Repository record for The inner life of goals : costs, rewards, and commonsense psychology (opens in a new tab)

  16. Reconstruction Of A Univariate Discrete Function From The Magnitude Of Its Fourier Transform

    … $f$ using the Fourier transform $F$, when only partial information about the transform and the function is available. One of the most common examples is to reconstruct $f$ when only the magnitude $|f|$ of the function and the magnitude $|F|$ of the Fourier transform are known. This problem …

    siu-theses Repository record for Reconstruction Of A Univariate Discrete Function From The Magnitude Of Its Fourier Transform (opens in a new tab)

  17. Representing High-Level Knowledge Structures in Massively Parallel Networks

    … work. These networks are very good at filling in partial information and at learning and representing subtle relationships among concepts. In addition, they provide a means to tightly integrate information from different sources as well as a model to encode parallel processing. However, many …

    uiuc Repository record for Representing High-Level Knowledge Structures in Massively Parallel Networks (opens in a new tab)

  18. Compound Lévy random bridges and credit risky asset pricing

    … properties that make them suitable models for information processes. We focus on the Markov property, dynamic consistency, measure changes and increment distributions. Thereafter, we consider applications in credit risky asset pricing. We generalize the information based credit risky asset …

    cape-town Repository record for Compound Lévy random bridges and credit risky asset pricing (opens in a new tab)

  19. Automatic target recognition based on collection of evidence

    … object recognition algorithm in which information from different features is combined using Dempster-Shafer reasoning. Specific attention is paid to cases in which only partial information is available because of occlusion or sensor limitations. The structure of the recognition system …

    mit Repository record for Automatic target recognition based on collection of evidence (opens in a new tab)

  20. Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks

    … all encompass both spatial and temporal information that is critical for implicit communication and learning. This dissertation presents a novel, unsupervised approach for learning, recognizing and early classifying spatio-temporal patterns using spiking neural networks for human-robotic …

    unr Repository record for Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks (opens in a new tab)

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