Machine Learning, etc

Monday, February 21, 2011

How to patent an algorithm in the US

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Today I got Google Alert today on the following pending patent -- Belief Propagation for Generalized Matching . I like to stay up on Belief...
776 comments:
Sunday, February 20, 2011

Generalized Distributive Law

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With regular distributive law you can do things like $$\sum_{x_1,x_2,x_3} \exp(x_1 + x_2 + x_3)=\sum_{x_1} \exp x_1 \sum_{x_2} \exp x_2 \sum...
17 comments:
Tuesday, February 15, 2011

Cluster decomposition and variational counting

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Suppose we want to count the number of independent sets in a graph below. There are 9 independent sets. Because the graphs are disjoint we c...
99 comments:
Wednesday, February 09, 2011

Junction trees in numerical analysis

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There's a neat connection between Cholesky factorization and graph triangulations -- graph corresponding to Cholesky factorization of a ...
19 comments:
Friday, January 21, 2011

Building Junction Trees

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Here's a 367 vertex Apollonian Network and its Junction Tree (aka Tree Decomposition) A Junction Tree provides an efficient data struct...
3 comments:
Friday, January 14, 2011

P vs. NP page

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Here's a page linking 65 attempts of resolving P vs NP problem. A couple of papers were published in peer-reviewed journals or conferen...
8 comments:
Saturday, January 08, 2011

towards Problem Compilers

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First programmers wrote in machine code and assemblers simplified this task significantly by letting them give algorithms at a higher level....
4 comments:
Sunday, January 02, 2011

Interactive Tree Decomposition

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Here's a tool (in Mathematica) to help visualize the process of constructing a Junction Tree. wrong link fixed Clicking on vertices cor...
9 comments:
Saturday, January 01, 2011

Happy New Year

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Here are some links to start the new year on a light note Hinged tesselation Statistics-related Cartoons on stats.SE Memorable math pap...
8 comments:
Tuesday, December 21, 2010

Visualizing 7 dimensional simplex

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Suppose we'd like to visualize a set of joint probabilities realizable by distributions of 3 binary variables. It is a 7 dimensional reg...
7 comments:
Wednesday, December 15, 2010

Computationally nice structures

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One approach to solving hard problems is to break them into computationally efficient parts. For instance, Globerson/Jaakkola do approximat...
8 comments:
Sunday, December 12, 2010

NIPS 2010 highlights

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A few "connection to other fields" papers I found interesting Variational Inference over Combinatorial Spaces. Alexandre Bouchard...
3 comments:
Sunday, December 05, 2010

Mathematica blog

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Most graphics and formulas that appear in this blog were created with help of Mathematica. I'll keep a separate blog with Mathematica t...
4 comments:
Friday, December 03, 2010

Moving away from traditional peer-review

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Common complaint about current publishing model is that sometimes good papers get rejected. A striking example is that David Lowe's SIFT...
9 comments:
Tuesday, November 30, 2010

Visualizing Tree Decompositions

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In order to do exact probabilistic inference on real life network efficiently, one must find a good Tree Decomposition of the network. This ...
6 comments:
Sunday, November 28, 2010

Springer temporarily opens "Machine Learning" journal

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Link here . If you never heard of the journal "Machine Learning", it used to be number 1 ranked journal in ML, until board of edit...
7 comments:
Friday, November 19, 2010

Prediction competitions

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I just came across kaggle.com which is a platform for "s a platform for data prediction competitions." From brief glance, it seem...
6 comments:
Wednesday, November 17, 2010

SVM plots

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Ulrich Bodenhofer has made some nifty SVM visualization code . One is Mathematica notebooks that takes libSVM model files and visualizes the...
3 comments:
Tuesday, November 02, 2010

Importance of naming things

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Searching for "NIPS" in google blog-search mainly produces posts about nipples, my "CRF" subscription on delicious rece...
11 comments:
Thursday, October 28, 2010

Sometimes simplest learners are best -- WinnowTag.com experiment

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In 1993, R.Holte noted that "Very simple classification rules perform well on most commonly used datasets" . His very simple rules...
10 comments:
Tuesday, October 26, 2010

Times they are a'changin'

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Suresh points out that at this year's FOCS , not a single person wanted printed proceedings, whereas few years ago, a third of the audi...
6 comments:
Friday, October 22, 2010

ICML topic trends

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David Mimno fit a Dirichlet-multinomial to ICML papers 2004-2008. Seems like "real world" problems are going strong, while boosti...
3 comments:
Wednesday, October 13, 2010

Why do we need integrals in Computer Science?

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A comment on previous post asked why we need integrals for computer science. One reason is that combinatorial expressions often have represe...
44 comments:
Sunday, October 03, 2010

Theoretical CS cheat sheet

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Thanks to John Cook for pointing it out Theoretical CS cheat sheet
7 comments:
Saturday, October 02, 2010

Universal Laws and Computational Irreducibility

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Terry Tao's article on universality. Stephen Wolfram's speech on future special functions. They give opposing perspective -- in th...
2 comments:
Saturday, September 25, 2010

Order Matters

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Suppose I have an invertible function $f(x)$. In a perfect world, the following holds $$x=f(f^{-1}(x))=f^{-1}(f(x))$$ To see what happens in...
5 comments:
Friday, September 24, 2010

Updated Machine Learning/Statistics blog list

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I recently raked the blogosphere for interesting new Machine Learning/math blogs and got a high recall, low precision list of 87, here .
9 comments:
Thursday, September 16, 2010

Dirac integration trick

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Suppose X is distributed as n-dimensional Gaussian with 0 mean and concentration matrix $A$ and you need conditional distribution of $P(\mat...
1 comment:
Sunday, September 05, 2010

MaxEnt or Bayesian?

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Foundations of probabilistic inference is often a subject of much disagreement, with some leading Bayesian sometimes going as far as to say ...
32 comments:
Saturday, September 04, 2010

non-asymptotic uses of Central Limit Theorem

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Suppose we throw a fair coin n times and estimate it's bias by averaging the number of heads observed. What is the squared error of this...
8 comments:
Monday, August 30, 2010

New Machine Learning blog

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By Frank Nielsen, with focus on information geometry, http://blog.informationgeometry.org/
11 comments:
Sunday, August 15, 2010

Method of Types

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After following some discussions on overflow sites, I re-read Shannon/Cover's coverage of method of types, and want to summarize it he...
8 comments:
Tuesday, August 10, 2010

Interesting Stack Exchanges

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As I discovered recently, stack exchanges can be pretty fun, informative (and time consuming!) way to discuss issues related to machine lea...
9 comments:
Friday, August 21, 2009

Robust OCR in video

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I used the "Robust OCR dataset" below to make a system for reading runner bibs in video. Standard ML techniques give fairly good r...
27 comments:
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Yaroslav Bulatov
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