Recent domain-determinization techniques have been very successful in many probabilistic planning problems. We claim that traditional heuristic MDP algorithms have been unsuccessful due mostly to the lack of efficient heuristics in structured domains. Previous attempts like mGPT used classical planning heuristics to an all-outcome determinization of MDPs without discount factor ; yet, discounte...

HMAX ("Hierarchical Model and X") system is among the best machine vision approaches developed today, in many object recognition tasks [1]. HMAX decomposes an image into features which are passed to a classifier. These features each capture information about a small section of the input image but might not have information about the overall structure of the image if there is not a significant n...

این پژوهش با الهام گرفتن از نتایج یک طرح مطالعاتی کاربردی، رویکرد سلسله­‌مراتبی جهت پیگیری فرایند توسعه تأمین‌کنندگان و حمایت تصمیمات موجود در هر مراحل آن ارائه‌ می‌کند. ابتدا، زمینه‌های تأمین نیازمند سپس واجد شرایط هریک زمینه‌ها به کمک تصمیم‌گیری چندشاخصه بهترین-بدترین مشخص می‌گردند. معیارهای شناسایی نیز مرور مطالعات پیشین بهره‌گیری نظرات خبرگان حوزه‌ی خرید استخراج‌شده‌اند. درنهایت، مدل ریاضی ...

This research examined the observed datasets and a theoretically derived model for estimating yearly optimum tilt angle (β), maximum incident solar radiation (Hmax), clean gain indicator (CGI), soiling loss (SLI) at Mumbwa, Zambia, Mediterranean Region, low latitude locations across globe. The cleaned tilted collector emerged as best performing due to Hmax much higher energy gains compared with...

Mục tiêu của nghiên cứu này là đánh giá hiệu quả giảm sóng và mức độ ổn định kè tại bờ biển Vĩnh Châu, tỉnh Sóc Trăng. Các số liệu về chiều cao cấp phối trước sau công trình được đo đạc phân tích. Mức bồi/xói thông qua trình. quan trắc lún phần bê tông đá hộc trong kè. Song song đó, hơn 100 chuyên gia lĩnh vực thủy lợi tham vấn ý kiến sóng. Kết cho thấy tương ứng với Hmax, 1/3 Hmax 1/10 lần lượ...

We introduce a method for encoding co-occurrence of features in the HMAX model of visual recognition, and conduct a series of experiments to investigate the contribution of co-occurrence towards better recognition performance. We show that classification accuracy is increased by adding a higher-order layer to the HMAX processing hierarchy, whereby co-occurrence of features is encoded as a new d...

The field of computational cognitive neuroscience (CCN) builds and tests neurobiologically detailed computational models that account for both behavioral and neuroscience data. This article leverages a key advantage of CCN-namely, that it should be possible to interface different CCN models in a plug-and-play fashion-to produce a new and biologically detailed model of perceptual category learni...