weightederm is a scikit-learn-style package for fast and accurate offline change point detection and estimation (or data segmentation) in regression settings via weighted empirical risk minimization ...
Abstract: A random marker code is inserted into the information sequences periodically, and a novel symbol-level decoding algorithm considering the weighted Levenshtein distance (WLD) is designed for ...
should specify seed should write your own distribution algorithm There are no guarantees as to the quality of the random sequence produced. to the files you want to use effolkronium random class. That ...
Identifying relevant information embedded within a constant and noisy background is a challenge faced by many sensory systems in the brain. Habituation—the reduction in responsiveness to repeated, ...
Follow this section to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings Personalized Content Follow this tag to personalize your feed and get ...
Abstract: Joint Timing and Channel Estimation (JTCE) for bandlimited long-code-aided Multi-Carrier Direct-Sequence Code Division Multiple Access (MC-DS-CDMA) systems is investigated. We establish the ...
The various existing measures to quantify upper limb use from wrist-worn inertial measurement units can be grouped into three categories: 1) Thresholded activity counting, 2) Gross movement score and ...
Unlike humans, artificial neural networks rapidly forget previously learned information when learning something new and must be retrained by interleaving the new and old items; however, interleaving ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results