L. Q. C. Lamar: Pragmatic Patriot

Multi-agent Logi Aided Lamar kian Learning

Belief Revision via Lamar kian Evolution 1 Belief Revision via Lamar kian

Maximum L Q - Likelihood Estimation

In this paper, the Maximum Lq-Likelihood Estimator (MLqE), a new parameter estimator based on nonextensive entropy [16], is introduced. The properties of the MLqE are studied via asymptotic analysis and computer simulations. The behavior of the MLqE is characterized by the degree of distortion q applied to the assumed model. When q is properly chosen for small and moderate sample sizes, the MLq...

Randward and Lamar: Randomizing the FF Heuristic

We present two planners, Randward and Lamar, which are respectively built upon the Downward and LAMA planners. The technique developed in these planners is to randomize heuristic construction so that heuristic plateaus are less frequent and the bias introduced by poor, arbitrary nondeterministic choices in heuristic construction is removed. Specifically, we randomize the FF heuristic, naming th...

Summary of NIST Patriot Act Recommendations

1. One-to-One Matching (Verification) -NIST recommends one face and two index fingerprints for verification. All three biometrics should be in image form. The face image should conform to the ANSI/INCITS 385-2004 standard. The fingerprint images should conform to the ANSI/INCITS 381-2004 standard with 500 dots per inch (dpi) scan resolution. 2. One-to-Many Matching (Identification) -NIST recomm...