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Venkatesh Vinayakarao | Researcher, Computer Science.Researcher, Computer Science. (by Venkatesh Vinayakarao)
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Venkatesh Vinayakarao | Researcher, Computer Science. | vinayakarao.wordpress.com Reviews
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Researcher, Computer Science. (by Venkatesh Vinayakarao)
Moret’s “Theory of Computation” has a beautiful “Introduction” – Venkatesh Vinayakarao
https://vinayakarao.wordpress.com/2014/11/15/morets-theory-of-computation-has-a-beautiful-introduction
Moret’s “Theory of Computation” has a beautiful “Introduction”. November 15, 2014. May 13, 2016. Bernard M. Moret’s book on “The Theory of Computation” has the best Introduction I have ever read in any book. It has everything an Introduction should have: a chronological survey of key problems solved, key challenges, how these challenges can be categorised and what came out of these. After reading the intro, I can’t resist reading the rest of the book. Leave a Reply Cancel reply. Enter your comment here.
March 2014 – Venkatesh Vinayakarao
https://vinayakarao.wordpress.com/2014/03
Success as a PhD student. March 3, 2014. March 5, 2014. Obviously, PhD necessitates to go beyond the surface level to know what’s happening. Deeper knowledge is hard to gain. To do that, its important that you feel relaxed and not stressed. You need to make study a continuous process. Take time to think. James Hayton. March 3, 2014. May 13, 2016. For a good coverage of the basics where Pratik Shah talks about the O,o,Ω,ω and Θ notations with simple examples. F(n) = O(g(n) f(n) g(n).
Venkatesh Vinayakarao – Page 2 – Researcher, Computer Science.
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Practical challenges in computing recall. May 10, 2016. Gold Sets or Benchmarks. Using an existing benchmark. One way to address this issue is to use a carefully selected representative dataset such as sf100 ( http:/ www.evosuite.org/experimental-data/sf100/. Creating your own benchmark:. Comparative Evaluation instead of Recall. If there is only one result expected. Computing MRR is more appropriate than Recall. It is easier to do so in top-10 or top-k results. More on this …soon. May 10, 2016. A title ...
November 2014 – Venkatesh Vinayakarao
https://vinayakarao.wordpress.com/2014/11
Moret’s “Theory of Computation” has a beautiful “Introduction”. November 15, 2014. May 13, 2016. Bernard M. Moret’s book on “The Theory of Computation” has the best Introduction I have ever read in any book. It has everything an Introduction should have: a chronological survey of key problems solved, key challenges, how these challenges can be categorised and what came out of these. After reading the intro, I can’t resist reading the rest of the book. Big Data and Cloud Computing.
January 2014 – Venkatesh Vinayakarao
https://vinayakarao.wordpress.com/2014/01
Power of algebra in probability. January 21, 2014. January 21, 2014. Algebra plays a big role in the analysis of complicated problems. An otherwise very complicated solution to work through can become trivial with the right use of algebra. Last week, I was solving the clock solitaire problem for the case that you may pick a random pile and then a random card in each pile. Problem was to argue if the probability is still 1/13. The probability of winning in this context is. Monty hall over 5 doors. Now, al...
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A peek into IIT Bombay | Haroon Rashid Lone
https://loneharoon.wordpress.com/2017/01/01/a-peek-of-iit-bombay
A peek into IIT Bombay. A peek into IIT Bombay. January 1, 2017. January 4, 2017. Well, I stayed outside the campus, but I survived for the first month with the food of Phoenix (H10), second month with Woodland (H8) and the last month with Queen of the campus, the enlightened abode (H1). Some NP questions which I was never able to solve include:. How KReSIT got the best building architecture award! Once one of my visitors even commented that whole IIIT-D can get accommodated inside KReSIT! The Central Li...
LaTeX for Complex Stuff | Haroon Rashid Lone
https://loneharoon.wordpress.com/2016/08/03/latex-for-complex-stuff
LaTeX for Complex Stuff. LaTeX for Complex Stuff. August 3, 2016. September 2, 2016. In this post, I will keep updating solutions to common problems we face while preparing LaTeX manuscripts. Customise the width of any cell in a table:. First include package pbox. Then, cell contents of a table will go like this pbox{5cm}{blah blabh}. Even the contents of cell can be forced to next line by using double backslash, i.e.,. Customise width of entire table column. Present table in landscape style. You are com...
November | 2016 | Haroon Rashid Lone
https://loneharoon.wordpress.com/2016/11
R scripts to handle dirty data. November 13, 2016. November 25, 2016. Filling missing values with NA:. In the following code represent a given time-series object in which we need to handle missing readings. Pre #org dfs represents object with missing readings timerange = seq(start(org xts),end(org xts), by = hour)# assuming original object is hourly sampled temp = xts(rep(NA,length(timerange) ,timerange) complete xts = merge(org xts,temp)[,1] pre. Temp = xts(rep(NA,length(timerange) ,timerange). Illustra...
Local Outlier Factor | Haroon Rashid Lone
https://loneharoon.wordpress.com/2016/07/29/local-outlier-factor
July 29, 2016. Local outlier Factor (LoF) is another density based approach to identify outliers in a dataset. The LoF is applicable to identify outliers in a dataset, which has a mixture of data distributions. Figure showing the dense and sparse distribution of points [Source: Google images]. For each data point. Represent distance of point. Represent set of points within. Compute reachability distance for each data point,. Compute Average reachability distance. To find the best value of. You are commen...
August | 2016 | Haroon Rashid Lone
https://loneharoon.wordpress.com/2016/08
Illustration of k value effect on outlier score. August 22, 2016. August 22, 2016. Continuing with the previous post. Here, I will illustrate how outlier scores vary while considering different. Values. The context of below figure is already explained in my previous post. After running the LOF algorithm with following R code lines. We get the outlier scores for 30 days on a range of. Before explaining results further, I present the distance matrix as below, where each entry shows the distance between days.
Haroon Rashid Lone | Page 2
https://loneharoon.wordpress.com/page/2
Hacks in Document and Presentation preparation. July 14, 2016. August 23, 2016. 1 INSERT EQUATION IN PRESENTATION:. At times we need to insert Mathematical formulae in presentations (Powerpoint or Keynote), and both Powerpoint and Keynote allow this by default. But, for guys, who are much comfortable with latex, then a simple and time-saving way is to copy the latex equation in LaTeXiT. Copy latex equation or write at first-hand in the lower window of the utility. Please find the detailed steps at this.
Hacks in Document and Presentation preparation | Haroon Rashid Lone
https://loneharoon.wordpress.com/2016/07/14/some-hacks-in-document-and-presentation-preparation/comment-page-1
Hacks in Document and Presentation preparation. Hacks in Document and Presentation preparation. July 14, 2016. August 23, 2016. 1 INSERT EQUATION IN PRESENTATION:. At times we need to insert Mathematical formulae in presentations (Powerpoint or Keynote), and both Powerpoint and Keynote allow this by default. But, for guys, who are much comfortable with latex, then a simple and time-saving way is to copy the latex equation in LaTeXiT. Here, is the screenshot of LaTeXiT utility. Page of the blog. You are c...
May | 2016 | Haroon Rashid Lone
https://loneharoon.wordpress.com/2016/05
Local Correlation Integral (LOCI) – Outlier Detection Algorithm. May 26, 2016. Local Correlation Integral (LOCI) is a density based approach for outlier analysis. It is local in nature, i.e., uses only nearby data points in terms of distance to compute density of a point. In this algorithm we have one tunable parameter –. Personally, I believe that we need to tune. Also according to data distribution. LOCI works with following steps. As the number of neighbours within distance. Compute average density,.
Haroon Rashid | Haroon Rashid Lone
https://loneharoon.wordpress.com/author/loneharoon
Articles posted by Haroon Rashid. A peek into IIT Bombay. January 1, 2017. January 4, 2017. Well, I stayed outside the campus, but I survived for the first month with the food of Phoenix (H10), second month with Woodland (H8) and the last month with Queen of the campus, the enlightened abode (H1). Some NP questions which I was never able to solve include:. How KReSIT got the best building architecture award! Once one of my visitors even commented that whole IIIT-D can get accommodated inside KReSIT!
Intuitive meaning of k range in Local Outlier Factor (LOF) | Haroon Rashid Lone
https://loneharoon.wordpress.com/2016/08/22/intuitive-meaning-of-k-range-in-local-outlier-factor-lof
Intuitive meaning of k range in Local Outlier Factor (LOF). Intuitive meaning of k range in Local Outlier Factor (LOF). August 22, 2016. August 22, 2016. The Local Outlier Factor. LOF) is a well-known outlier detection algorithm. In the previous. Post, I noted down the steps of LOF and here I will discuss its. Parameter often lands the users of LOF into difficulty, but while looking at the meaning of. Parameter and the respective application domain, I find it is easy to select a k. This refers to the min...
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The greatest WordPress.com site in all the land! In Praise of Vinayaka. In Praise of Ganapathy. வ ந யக ப ர ணம. 1a க மந தன. 1b க மந தன. 1c க மந தன ப ண ண யம. 2 ச மக ந தன. 3a த ஷம ந ங க தல. 3b த ஷம ந ங க தல. 3c த ஷம ந ங க தல. 5a வ ஸ வர பம. 5b வ க ன வ ந யகர. 6a ப ரமன ன தவம. 7a த ர மணக க லம. 7b த ர மணக க லம. 7c த ர மணக க லம. 8a மத க டபர கள. 8b மத , க டபர கள . 9a ப ண ந ங க யத. 9b ப ண த ர ந தத. 9c ப ண ந ங க யத. 9d ப ண ந ங க யத. 10a வல ல ளன. 10b வல ல ளன. 10c வல ல ளன. 10d வல ல ளன. 11a அரச பர ச! 11b அரச பர ச!
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In Praise of Vinayaka. In Praise of Ganapathy. வ ந யக ப ர ணம. 1b க கர ணர. 1c க ட ட வழ ப ட. 2b க வ ர நத. 3a சந தத கள. 4a அப ஜ த. 4d த க வ ஜயம. 4e இந த ரன. 4g ச ந த மண. 4h கப லர ன தவம. 4i வ ந யகர. 4j அற வ ர கள. 4l பஞ ச ப ணம. 4m ம ன வர ன மண. 4n ச ந த மண வ ந யகர. 5a ச ந த ரன. 5b ச ந த ரன. 5c ய த தம. 5d மய ச ச தன. 5e க ர த த வ சன. 5f ச ந த ரன. 5h ந ரதர கலஹம. 5i வ ஸ வர பம. 6a ம ஷ கன. 6b அப நந தனன. 6c த ய வக க ழந த. 6d ம ஷ க வ ஹனம. 6e க லந ம. 6f வ க ன வ ந யகர. 7a வ தங கள எங க? 7b மல ல லர. 7c ம யப பட. 7d கட ம ப ர.
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Venkatesh Vinayakarao | Researcher, Computer Science.
Researcher, Computer Science. Moret’s “Theory of Computation” has a beautiful “Introduction”. November 15, 2014. Bernard M. Moret’s book on “The Theory of Computation” has the best Introduction I have ever read in any book. It has everything an Introduction should have: a chronological survey of key problems solved, key challenges, how these challenges can be categorised and what came out of these. After reading the intro, I can’t resist reading the rest of the book. Posted in Search Technologies. On spe...
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