منابع مشابه
COMS 4721: Review of prerequisites
The d-dimensional Euclidean space Rd is the d-dimensional vector space over the real numbers R where we have the familiar notions of distances and angles from classical plane geometry. The space Rd is comprised of vectors (or points), which can be added (z := x + y for x,y ∈ Rd) and scaled by real numbers (z := cx for c ∈ R and x ∈ Rd) to obtain other vectors in Rd. Every vector x ∈ Rd has a (E...
متن کاملeffect of oral presentation on development of l2 learners grammar
this experimental study has been conducted to test the effect of oral presentation on the development of l2 learners grammar. but this oral presentation is not merely a deductive instruction of grammatical points, in this presentation two hypotheses of krashen (input and low filter hypotheses), stevicks viewpoints on grammar explanation and correction and widdowsons opinion on limited use of l1...
15 صفحه اولdevelopment of feminist poetics in adrienne rich
اشعار ریچ، به عنوان اشعاری که همیشه در حال تغییر و دگرگونی هستند، تجسمی از رشد و دگرگونیِ انسان هستد. پایان نامه ی حاضر، با تمرکز بر روی مراحل سیر شعری ریچ از تغییری در دنیا به عکس هایی فوری از یک عروس، سپس به شیرجه به درون کشتی شکسته و در نهایت به صبری عجیب مرا تا اینجا آورده، به بررسی این مراحل در قالب نظر شوالتر در رابطه با سه مرحله ی پیشرفت ادبی زنان یعنی مرحله ی زنانه، زن گرا و زن محور می پ...
15 صفحه اولCOMS 4701 Artificial Intelligence
Facial Recognition remains one of the most popular fields in computer imaging research due to its broad scope of applications in identity verification, human computer interactions, law enforcement applications and video surveillance systems. Although numerous artificial intelligence and machine learning techniques have been successfully applied to still image recognitions, recognition in video ...
متن کاملCOMS 4771 : Homework 2 Solution
f(x) = { 1 if wx+ b > 0, −1 otherwise. Consider d+1 points x = (0, ..., 0) , x = (1, 0, ..., 0) , x = (0, 1, ..., 0) , ..., x = (0, 0, ..., 1) . After these d+1 points being arbitrarily labeled: y = (y0, y1, ..., yd) T ∈ {−1, 1}. Let b = 0.5 · y0 and w = (w1, w2, ...wd) where wi = yi, i ∈ {1, 2, ..., d}. Thus f(x) can label all these d+ 1 points correctly. So the VC dimension of perceptron is a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Astronomy and Space Sciences
سال: 2009
ISSN: 2093-5587
DOI: 10.5140/jass.2009.26.1.127