reinforcementlearning.blogspot.com
Reinforcement Learning: To "know everything"
http://reinforcementlearning.blogspot.com/2010/09/to-know-everything.html
A blog about reinforcement learning, machine learning, and more generally artificial intelligence, with occasional posts about professorial life. Friday, September 10, 2010. Eric Schmidt, CEO of Google, describes the circumstance when "all the information in the world is available at our fingertips" (presumably through always networked mobile devices, etc.) as being a circumstance when "we can literally know everything. If you want to hear Eric say the statement above, here is the link.
reinforcementlearning.blogspot.com
Reinforcement Learning: Data on Scientists and what they and the public think of them?
http://reinforcementlearning.blogspot.com/2009/07/data-on-scientists-and-what-they-and.html
A blog about reinforcement learning, machine learning, and more generally artificial intelligence, with occasional posts about professorial life. Sunday, July 12, 2009. Data on Scientists and what they and the public think of them? From the Pew Research Center for the People and Press. A must read for academics and researchers. Lots of poll results and some commentary. Posted by Satinder Singh. August 12, 2009 at 11:16 AM. March 12, 2010 at 1:03 AM. September 4, 2013 at 9:56 PM. Blogs by AI academics.
myresearchdiaries.blogspot.com
My Research Diaries: November 2012
http://myresearchdiaries.blogspot.com/2012_11_01_archive.html
Things that make me think, Things that excite me, Things I yearn to learn. Sunday, November 25, 2012. TREC tracks and their meanings: A high level overview. There are multiple tasks and sub-tasks in this track of TREC. These include blog distillation and then opinion polarity. There are about 100,000 blogs in this dataset and 50 queries for which opinion polarity was provided as ground truth. These opinions are categorized into (relevant, not relevant, negative, positive, mixed). DNA and RNA sequences (g...
myresearchdiaries.blogspot.com
My Research Diaries: December 2012
http://myresearchdiaries.blogspot.com/2012_12_01_archive.html
Things that make me think, Things that excite me, Things I yearn to learn. Thursday, December 27, 2012. Trying to revive the C3M algorithm. Here are some of the claims made by their paper " Concept and Effectiveness of the Cover Coefficient Based Clustering Methodology for Text Databases by Fazli Can and Esen OZkarahan". A) Clusters are stable. B) Algorithm is independent of order of documents, hence, we will always a unique clusters. C) The memory overhead is really low. Creating the C matrix. For each ...
myresearchdiaries.blogspot.com
My Research Diaries: Data Science Lightning Talks: #GHC14
http://myresearchdiaries.blogspot.com/2014/10/data-science-lightning-talks-ghc14.html
Things that make me think, Things that excite me, Things I yearn to learn. Friday, October 10, 2014. Data Science Lightning Talks: #GHC14. The lightning talks at GHC's Data Science track were super fun and covered a wide range of topics. Although data scientists or machine learning folks already know most of these concepts, its great to get a refresher. As a plus the passion of the speakers was contagious. Trusting User Annotations on the Web for Cultural Heritage Domains Presenter by. This was a fun end...
myresearchdiaries.blogspot.com
My Research Diaries: May 2014
http://myresearchdiaries.blogspot.com/2014_05_01_archive.html
Things that make me think, Things that excite me, Things I yearn to learn. Thursday, May 1, 2014. Building Apache Spark Jars. I already have a cluster of spark set up on a set of machines. Let me call this the "lab" cluster. This lab cluster came pre-installed with Hadoop. I want to run spark jobs (written in scala) on this cluster. There are two ways to do it. A) Running sbt run. From the root of the sbt project that contains the scala code. B) Run the fat jar created by sbt assembly as follows.
myresearchdiaries.blogspot.com
My Research Diaries: April 2013
http://myresearchdiaries.blogspot.com/2013_04_01_archive.html
Things that make me think, Things that excite me, Things I yearn to learn. Thursday, April 11, 2013. Surviving the PhD program. A great resource for those who are procrastinating on writing. This webpage also contains tons of other helpful material, like balanced-life chart, tools on staying organized, positive affirmations on writing and so on. Life is easier when you can laugh at yourself. Here are some daily affirmations. For doctoral students. But I stayed away from PhD comics. As much as I could.
reinforcementlearning.blogspot.com
Reinforcement Learning: August 2010
http://reinforcementlearning.blogspot.com/2010_08_01_archive.html
A blog about reinforcement learning, machine learning, and more generally artificial intelligence, with occasional posts about professorial life. Monday, August 16, 2010. A Visual Representation of a Doctorate. Of what a doctorate means. Posted by Satinder Singh. Subscribe to: Posts (Atom). Blogs by AI academics. Social Machine Learning (Andrea Thomaz). Csaba Szepesvari's ReadingsML Blog. David Pennock's Oddhead Blog. Blogs by other Academics. Links to Upcoming Conferences.
reinforcementlearning.blogspot.com
Reinforcement Learning: October 2008
http://reinforcementlearning.blogspot.com/2008_10_01_archive.html
A blog about reinforcement learning, machine learning, and more generally artificial intelligence, with occasional posts about professorial life. Tuesday, October 21, 2008. On Reviewing Reinforcement Learning Papers. I had drafted this earlier this summer but never got around to finishing and posting this. Am doing so now*. So, assuming you agree with the supposition, why is it the case? In looking back at years of reviewing, I think the reasons are:. 3 There is also a healthy. 4 Perhaps the most importa...
gimmereward.wordpress.com
The price of dying | Gimme Reward
https://gimmereward.wordpress.com/2008/10/29/the-price-of-dying
A blog about reinforcement learning, games, life, and linear combinations of these. The price of dying. October 29, 2008. Arcade games are a perfect fit for reinforcement learning. First of all, the reinforcement signal could not be more direct than the score displayed in a corner of the screen. Cumulative rewards, pushed into your face:. If only it were that simple! Maximizing score, while not losing too many lives, and being as fast as possible It seems like a proper instance of multicriteria RL. Accor...
