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  • The View from Eigenvector » iPods Ordered!
    applications Attendance at EigenU courses is not required to present a poster and we often get grad students from University of Washington and other Seattle area research centers Interested in presenting Just send an abstract for your poster that describes work where you ve used our software See you in a couple weeks BMW Posted by barry Categories Eigenvector News Short Courses Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII in Namur Another EigenU Europe Complete 30 Years of Chemometrics EigenU 2015 Poster Contest Winners MRST Shines at Eigenvector Research NW Cup Finals Archives Archives Select Month February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December 2012 November 2012 October 2012 September 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 November 2009 October 2009 September 2009 August 2009 July 2009 June 2009 May 2009 April 2009 November 2008 October 2008 September 2008 August 2008 July 2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008 June 2007 May 2007 April 2007 January 2007 Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Links Eigenvector Journal of Chemometrics The MathWorks Meta Register Log in Entries RSS Comments RSS WordPress org Browse Monthly Archives February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December

    Original URL path: http://www.eigenvector.com/evriblog/?p=747 (2016-04-27)
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  • The View from Eigenvector » Top 10 Reasons to come to EigenU 2013
    to the East the Emerald City is distractingly scenic Plus it is home to the Space Needle Pike Place Market Seattle Art Museum Seattle Mariners the largest ferry system in the US plus tons of other attractions It is definitely not New Jersey The Washington Athletic Club EigenU is held at the WAC the nation s premier city athletic club The historic 21 story facility includes 5 floors of fitness facilities 10 floors of Euro styled techno centric sleeping rooms full service spa and 3 restaurants The food From the continental breakfast including the WAC s signature sticky buns through the gourmet plated lunches to afternoon snack bars our guests always rave about the food Networking EigenU attendance is typically about 40 scientists and engineers with a range of chemometric expertise and wide variety of interests This means you ll have plenty of opportunity to find colleagues with common problems and complimentary solutions Evening events EigenU provides ample opportunity to continue your chemometric learning and networking into the evening This includes Tuesday s PLS Toolbox Solo User Poster Session Wednesday s PowerUser Tips Tricks Session and Thursday s Workshop Dinner which is one more opportunity to enjoy the WAC s fabulous food Present a poster at the Tuesday evening User Session and you could win an Apple iPad mini or iPod nano Flexible multi platform software With PLS Toolbox MIA Toolbox and EMSC Toolbox EVRI offers the most comprehensive set of chemometric tools available plus the flexibility of MATLAB Our stand alone packages Solo and Solo MIA offer all the point and click tools of their MATLAB based siblings Plus they re all available for Windows Linux and MacOS On line options available too Costs less In spite of all its advantages EigenU actually costs less than similar courses from CAMO Umetrics and ProSensus So it probably isn t surprising that EigenU attendees are more than satisfied Here s what a couple of them had to say I attended the Eigenvector University 2010 earlier this year It was the best short course I have ever taken on any subject I highly recommend it if you re looking for a short course immersion kind of training James M Roberts GSK What you are offering here is unmatched David A Russell Dupont Discount registration ends soon register and pay by April 10 for the best prices See you at EigenU BMW Posted by barry Categories Eigenvector News Short Courses Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII in Namur Another EigenU Europe Complete 30 Years of Chemometrics EigenU 2015 Poster Contest Winners MRST Shines at Eigenvector Research NW Cup Finals Archives Archives Select Month February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December 2012 November 2012 October 2012 September 2012 June 2012 May 2012 April 2012

    Original URL path: http://www.eigenvector.com/evriblog/?p=730 (2016-04-27)
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  • The View from Eigenvector » FOSS Course Conclusion
    snacks for breaks and great lunches in their cafeteria We ve also had a couple nice evenings out including a very nice dinner at Ristorante La Perle We can see why everybody in Hillerød goes there for their birthday Thanks to everyone who attended BMW Posted by barry Categories Eigenvector News Short Courses Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII in Namur Another EigenU Europe Complete 30 Years of Chemometrics EigenU 2015 Poster Contest Winners MRST Shines at Eigenvector Research NW Cup Finals Archives Archives Select Month February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December 2012 November 2012 October 2012 September 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 November 2009 October 2009 September 2009 August 2009 July 2009 June 2009 May 2009 April 2009 November 2008 October 2008 September 2008 August 2008 July 2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008 June 2007 May 2007 April 2007 January 2007 Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Links Eigenvector Journal of Chemometrics The MathWorks Meta Register Log in Entries RSS Comments RSS WordPress org Browse Monthly Archives February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December 2012 November 2012 October 2012 September 2012 June 2012

    Original URL path: http://www.eigenvector.com/evriblog/?p=575 (2016-04-27)
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  • The View from Eigenvector » Off to Hillerød
    iPLS is a method for selecting variables and also elucidating from which part of the spectrum calibration models get their predictive information The color by feature uses the color of data points in a plot to indicate the value of another variable It really helps spot trends I first saw this feature in LatentiX with which Lars was involved We have a nearly full class lined up and with Lars Rasmus and myself it should make for a lively group Plus we ll be teaching with the just released PLS Toolbox 6 5 I ll need to spend some time learning about 6 5 s new features myself I m looking forward to it BMW Posted by barry Categories Eigenvector News Short Courses Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII in Namur Another EigenU Europe Complete 30 Years of Chemometrics EigenU 2015 Poster Contest Winners MRST Shines at Eigenvector Research NW Cup Finals Archives Archives Select Month February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December 2012 November 2012 October 2012 September 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 November 2009 October 2009 September 2009 August 2009 July 2009 June 2009 May 2009 April 2009 November 2008 October 2008 September 2008 August 2008 July 2008 June 2008 May 2008 April 2008 March 2008 February 2008 January 2008 June 2007

    Original URL path: http://www.eigenvector.com/evriblog/?p=569 (2016-04-27)
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  • The View from Eigenvector » Accuracy of PLS Algorithms
    with blue stars is actually two lines the difference between SIMPLS and both NIPALS and DSPLS These lie on top of each other because NIPALS and DSPLS are so similar to each other SIMPLS stays within one part in 10 10 through 10 LVs maximum LVs of interest in this data and degrades to one part in 10 7 The highest line on the plot pink with stars is the difference between NIPALS and Bidiag2 Note that by 9 LVs this difference has increased to 1 part in 10 0 which is to say that the regression vector calculated by Bidiag2 has no resemblance to the regression vector calculated by the other methods I programmed my version of Bidiag2 following the development in Bro and Eldén 6 Perhaps there exist more accurate implementations of Bidiag2 but my results resemble those of Andersson quite closely You can download my bidiag m file along with the code that generates this figure check PLS reg accuracy m This would allow you to reproduce this work in MATLAB with a copy of PLS Toolbox a demo would work I d be happy to incorporate an improved version of Bidiag in this analysis so if you have one send it to me BMW 1 Martin Andersson A comparison of nine PLS1 algorithms J Chemometrics 23 10 pps 518 529 2009 2 B M Wise and N L Ricker Identification of Finite Impulse Response Models with Continuum Regression J Chemometrics 7 1 pps 1 14 1993 3 S de Jong B M Wise and N L Ricker Canonical Partial Least Squares and Continuum Power Regression J Chemometrics 15 2 pps 85 100 2001 4 G H Golub and W Kahan Calculating the singular values and pseudo inverse of a matrix SIAM J Numer Anal 2 pps 205 224 1965 5 R Manne Analysis of two Partial Least Squares algorithms for multivariate calibration Chemom Intell Lab Syst 2 pps 187 197 1987 6 R Bro and L Eldén PLS Works J Chemometrics 23 1 2 pps 69 71 2009 Posted by barry Categories Chemometrics Software Responses to everybody that responded to the last post on Accuracy of PLS Algorithms As I expected it sparked some nice discussion on the chemometrics listserv By The View from Eigenvector Re orthogonalization of PLS Algorithms on August 23rd 2010 at 2 23 pm I wrote about accuracy of PLS algorithms and compared SIMPLS NIPALS BIDIAG2 and the new DSPLS I now turn to speed of the algorithms In By The View from Eigenvector Speed of PLS Algorithms on November 1st 2010 at 12 26 pm Accuracy of PLS Algorithms Re orthogonalization of PLS Algorithms One Last Time on Accuracy of PLS Algorithms Speed of PLS Algorithms By The View from Eigenvector What s Unique About Your PLS on January 10th 2013 at 6 34 pm Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII

    Original URL path: http://www.eigenvector.com/evriblog/?p=268 (2016-04-27)
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  • The View from Eigenvector » Re-orthogonalization of PLS Algorithms
    use this algorithm without it Whether to add it to SIMPLS is a little more debatable We ran some tests on typical regression problems and found that the difference on predictions with and without it was typically around 1 part in 10 8 for models with the correct number of LVs In other words if you round your predictions to 7 significant digits or less you d never see the difference That said we ran a few tests to determine the effect on computation time of adding the re orthogonalization step to SIMPLS For the most part the effect was negligible less than 5 additional computation time for the vast majority of problem sizes and at worst a 20 increase Based on this we plan to include re orthogonalization in our SIMPLS code in the next major release of PLS Toolbox and Solo Version 6 0 which will be out this fall We ll put it in the option to turn it off if desired BMW 1 N M Faber and J Ferré On the numerical stability of two widely used PLS algorithms J Chemometrics 22 pps 101 105 2008 Posted by barry Categories Chemometrics Software Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII in Namur Another EigenU Europe Complete 30 Years of Chemometrics EigenU 2015 Poster Contest Winners MRST Shines at Eigenvector Research NW Cup Finals Archives Archives Select Month February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December 2012 November 2012 October 2012 September 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October

    Original URL path: http://www.eigenvector.com/evriblog/?p=303 (2016-04-27)
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  • The View from Eigenvector » One Last Time on Accuracy of PLS Algorithms
    10 10 The BIDIAG2 code provided by Scott hot pink with stars is the closest to NIPALS for the tall skinny case while being just a little more different than the other algorithms for the short fat case This has been an interesting exercise I m always surprised when I find there is still much to learn about something I ve already been thinking about for 20 years It is certainly a good lesson in watching out for numerical accuracy issues and in how accuracy can be improved with some rather simple modifications BMW Posted by barry Categories Chemometrics Software Responses regression algorithm The reasons for this are evident from several of my recent posts concerning accuracy and speed of various algorithms If you have done a PLS regression in PLS Toolbox or Solo you have By The View from Eigenvector Sijmen de Jong on November 8th 2010 at 9 54 am Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII in Namur Another EigenU Europe Complete 30 Years of Chemometrics EigenU 2015 Poster Contest Winners MRST Shines at Eigenvector Research NW Cup Finals Archives Archives Select Month February 2016 October 2015 September 2015 May 2015 April 2015 March 2015 February 2015 October 2014 January 2014 August 2013 June 2013 April 2013 January 2013 December 2012 November 2012 October 2012 September 2012 June 2012 May 2012 April 2012 March 2012 February 2012 January 2012 December 2011 November 2011 October 2011 September 2011 July 2011 June 2011 May 2011 April 2011 March 2011 February 2011 January 2011 November 2010 October 2010 September 2010 August 2010 July 2010 June 2010 May 2010 April 2010 November 2009 October 2009 September 2009 August 2009 July 2009 June

    Original URL path: http://www.eigenvector.com/evriblog/?p=323 (2016-04-27)
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  • The View from Eigenvector » Speed of PLS Algorithms
    done in less than a minute for most of the large cases The second figure shows the ratio of the computation time of NIPALS to SIMPLS as a function of number of samples Each line is a fixed number of variables indicated by the legend Maximum size of X here is 9 million elements I just didn t want to wait for NIPALS on the big cases Note that SIMPLS is always faster than NIPALS The difference is relatively small around a factor of 2 for the tall skinny cases many samples few variables but considerable for the short fat cases few samples many variables For the case of 100 samples and 100 000 variables SIMPLS is faster than NIPALS by more than a factor of 10 The ratio of computation time for DSPLS to SIMPLS is shown in the third figure These two methods are quite comparable with the difference always less than a factor of 2 Thus I ve chosen to display the results as a map Note that each method has its sweet spot SIMPLS is faster red squares for the many variable problems while DSPLS is faster light blue squares for the many sample problems Dark blue area represents models not computed for X larger than 30 million elements Overall SIMPLS retains a slight time advantage over DSPLS but for the most part they are equivalent Given the results of these tests and the previous work on accuracy it is easy to see why SIMPLS remains our default algorithm and why we found it useful to include DSPLS in our latest releases BMW Posted by barry Categories Chemometrics Software Leave a response You must be logged in to post a comment Categories Chemometrics Eigenvector News Short Courses Software Uncategorized Recent Posts Eigenvector at Chimiométrie XVII in

    Original URL path: http://www.eigenvector.com/evriblog/?p=340 (2016-04-27)
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