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Showing 1 to 11 of 11 for “"optimal decision rule"”.

  1. Near-Optimal Learning in Sequential Games

    Decision making is ubiquitous, and some problems become particularly challenging due to their sequential nature, where later decisions depend on earlier ones. While humans have been attempting to solve sequential decision making problems for a long time, modern computational and machine learning …

    mit Repository record for Near-Optimal Learning in Sequential Games (opens in a new tab)

  2. RESOURCE USE RATES: ESTIMATION OF TIME INVARIANT DECISION RULES (EROSION)

    … has increased, understanding the soil management decision rule used by farmers has become more important. The model developed to analyze the optimal decision rule for soil use rates is essentially a supply response model which assumes rational expectations. It can be characterized as a dynamic …

    unh-thes Repository record for RESOURCE USE RATES: ESTIMATION OF TIME INVARIANT DECISION RULES (EROSION) (opens in a new tab)

  3. Anticipatory behavior in lane changing models

    … where the solution takes the form of an optimal decision rule that specifies drivers' optimal decisions as a function of their current information. A theoretical framework is developed and the advantages and disadvantages of the approach are discussed. The computational complexity of …

    mit Repository record for Anticipatory behavior in lane changing models (opens in a new tab)

  4. Cognitive Radio Systems: Performance Analysis and Optimal Resource Allocation

    … and obtain throughput- and energy-efficient optimal resource allocation strategies for cognitive radio systems. Cognitive radio systems, which employ spectrum sensing mechanisms to learn the channel occupancy by primary users, generally operate under sensing uncertainty arising due to false …

    syracuse-diss Repository record for Cognitive Radio Systems: Performance Analysis and Optimal Resource Allocation (opens in a new tab)

  5. Vision-Enhanced Communications: On the Benefits of NLOS/LOS Knowledge in Wireless Systems

    … ratio test (LRT) methods are used to derive the optimal decision rule in both constant false-alarm rate (CFAR) and minimum probability of error (min(Pe)) paradigms. It is shown that a dynamic detection scheme utilizing labeled information, including imperfect error-prone labels, sourced from …

    vt Repository record for Vision-Enhanced Communications: On the Benefits of NLOS/LOS Knowledge in Wireless Systems (opens in a new tab)

  6. ROBUST KULLBACK-LEIBLER DIVERGENCE AND ITS APPLICATIONS IN UNIVERSAL HYPOTHESIS TESTING AND DEVIATION DETECTION

    … to that for continuous observations. The optimal decision rule is developed whose robust property is provably established for universal hypothesis testing.</p> <p>Another application of the robust KL divergence is in deviation detection: the problem of detecting deviation from a nominal …

    syracuse-diss Repository record for ROBUST KULLBACK-LEIBLER DIVERGENCE AND ITS APPLICATIONS IN UNIVERSAL HYPOTHESIS TESTING AND DEVIATION DETECTION (opens in a new tab)

  7. Chemical identification under a poisson model for Raman spectroscopy

    … detection (MHD), and an approximation to the optimal decision rule is presented. The resulting approximations are related to the minimum description length (MDL) approach to inference. In our simulations, this method is seen to outperform two common general detection approaches, the spectral …

    gatech Repository record for Chemical identification under a poisson model for Raman spectroscopy (opens in a new tab)

  8. Data Driven Nonparametric Detection

    … where all observed data are available for making decision, and decentralized detection, where only quantized data from distributed sensors are forwarded to a fusion center for decision making. While these problems have been intensively studied under parametric and semi-parametric models with …

    syracuse-diss Repository record for Data Driven Nonparametric Detection (opens in a new tab)

  9. Hash code learning for large scale similarity search

    … a likelihood ratio test statistic, which is the optimal decision rule to decide if samples are related. We show via experiments that at the same false positive rate, the proposed method could obtain false negative error rates which are significantly lower than the original SMH bit allocation …

    uiuc Repository record for Hash code learning for large scale similarity search (opens in a new tab)

  10. Detection and classification in the compressed domain for multispectral images

    The student, Yuqi Li, accepted the attached license on 2020-11-30 at 12:57.

    uiuc Repository record for Detection and classification in the compressed domain for multispectral images (opens in a new tab)

  11. Ambient Backscatter Communication Systems: Design, Signal Detection and Bit Error Rate Analysis

    … detection procedure at the receiver since the optimal decision rule is found to be independent of the system parameters. Through extensive numerical results, it is further shown that a backscatter system with Manchester encoding can achieve a signal-to-noise ratio (SNR) gain compared to the …

    vt Repository record for Ambient Backscatter Communication Systems: Design, Signal Detection and Bit Error Rate Analysis (opens in a new tab)