B.Tech. Project Report - IIT Kanpur
creased processing power at the desktop, multimedia applications no longer remain a distant dream. Of these multimedia applications, perhaps the highest demand is for the conferencing applications which allow a group to coordinate its work on a real-time ba-sis, irrespective of the physical location of the members. Moreover, given the increasing
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Basics of Probability and Probability Distributions
www.cse.iitk.ac.inFor a continuous r.v. X, we can only talk aboutprobability within an interval X 2(x;x + x) p(x) x is the probability that X 2 (x;x + x) as x ! 0 The probability density p(x) satis es the following p(x) 0 and Z x p(x)dx = 1 (note: for continuous r.v., p(x) can be >1) (IITK) Basics of Probability and Probability Distributions 5
9: Basics of Hypothesis Testing
www.cse.iitk.ac.inStatistics Parameters Statistics Source Population Sample Notation Greek (e.g., μ) Roman (e.g., xbar) Vary No Yes Calculated No Yes . The Bayesian’s universe World Data Params Lklhd Generates Model Prior Inference Inference Magic . The statistician’s universe ... 3.00 5 185 170 0 stat SE x x z P ...
PRIMES is in P
www.cse.iitk.ac.inLet PRIMES denote the set of all prime numbers. The definition of prime numbers already gives a way of determining if a number n is in PRIMES: try dividing n by every number m ≤ √ n—if any m divides n then it is composite, otherwise it is prime. This test …
DEEP LEARNING LIBRARY - IIT Kanpur
www.cse.iitk.ac.in1. How To Create A Mind By Ray Kurzweil - Is a inspiring talk 2. Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng 3. Recent Developments in Deep Learning By Geoff Hinton 4. The Unreasonable Effectiveness of Deep Learning by Yann LeCun 5. Deep Learning of Representations by Yoshua bengio 6.
Solving the 8-Puzzle using A* Heuristic Search
www.cse.iitk.ac.intime than that taken by an admissible heuristic. Experimental results show that the Nilsson Sequence Score heuristic finds a solution to the 8-puzzle much faster than all the admissible heuristics. CS365 Presentation by Aman Dhesi
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