Silver Zone Foundation is a widely known academic group and it has been conducting Worldwide degree Olympiads in India and abroad in numerous subjects for greater than a decade. This foundation’s foremost purpose is to advertise learning beyond the college curriculum amongst the scholars in an progressive approach. The students studying I to XII courses can participate in these Olympiads. The neatest thing about it is that it gives a lot helpful material by the way in which of a cell app to the students and teachers.

1. Visit the official web site- www.secondary.biharboardonline.com

2. On the homepage, click on the ‘End result’ tab

3. A brand new web page will open

4. Scroll down to the Simultala Awasiya Vidyalaya Outcome part

5. Click on the link for the SAV results of boys or ladies candidates

6. A PDF file will open on your display

7. Look on your identify and roll number

8. Save the file on your laptop

AILET (All India Legislation Entrance Test) is managed by the National Regulation College (NLU), New Delhi. It’s organized to supply admission into varied undergraduate & postgraduate regulation programmes, i.e. BA LLB (Hons.), LLM & Ph.D. This examination is an all India level examination held one time in a 12 months.

Summary: On-line portfolio selection is a basic downside in computational finance, which has been extensively studied throughout a number of research communities, including finance, statistics, artificial intelligence, machine learning, and data mining, and many others. This article goals to offer a complete survey and a structural understanding of printed online portfolio selection methods. From an online machine studying perspective, we first formulate online portfolio choice as a sequential decision drawback, 技術士試験 and then survey a variety of state-of-the-artwork approaches, which are grouped into a number of major classes, together with benchmarks, “Follow-the-Winner” approaches, “Follow-the-Loser” approaches, “Pattern-Matching” based approaches, and “Meta-Studying Algorithms”. In addition to the problem formulation and related algorithms, we also focus on the relationship of those algorithms with the Capital Progress idea so as to better perceive the similarities and differences of their underlying trading concepts. This article goals to offer a timely and complete survey for each machine studying and data mining researchers in academia and quantitative portfolio managers within the financial trade to assist them perceive the state-of-the-art and facilitate their analysis and practical applications. We additionally focus on some open issues and evaluate some rising new trends for future analysis directions.