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CSPAN3 Politics Public Policy Today October 1, 2014

A look at some of the political ads running in that state. A few years ago, things in minnesota werent going very well. So we got a new coach. He made the tough decisions. And now, things are looking up. We added over 150,000 new jobs and have one of the Fastest Growing economies in the nation. Cut taxes while increasing our Rainy Day Fund and investing in education. Darn good record, right . Darn good coach. Im jeff johnson. As governor i will audit every state program. Im thorough. All done . I dont think so. Done with your homework . Lets doublecheck that. Did you eat this . Mark dayton should be held accountable for wasting our money. His Luxury Office and bonuses prove that hes out of touch with middle class minnesotans. Its time for a governor who gets it and gets us. Jeff johnson for governor. In a state plagued b ....

United States , New Jersey , San Diego , Howard Hall , District Of Columbia , Sri Lanka , San Francisco , New York , North Carolina , Hong Kong , Wendy Harmon , Susan Ballantine , Pete Rick , Gabby Giffords , Joe Dornan , Javier Becerra , Hannah Nicollet , Los Angeles , Vladimir Putin , Indian Ocean , Jeff Johnson , Thomas Perez , Chet Baker , Janet Napolitano , Fastest Growing , Rainy Day ,

CSPAN Key Capitol Hill Hearings March 18, 2014

Kevin writes on our twitter page. Ets go to diane in texas. Caller good morning. Yesterday the president was saying that he has given the green light on the Affordable Care act. What i would like to know is how could anybody trust that man . He said admittedly on jay leno that he doesnt know math. He couldnt even help his daughter with math. How could he possibly fix an economy and get jobs created when he doesnt know math . Hes ill lit rat in it. He should come out right now and explain to us the truth about whats going on. Tell us that host can i ask you whats your Health Care Situation and does any of the Affordable Care act has it affected you . Guest oh, yes. Host how so . Caller you could ask cast row here. Host how has it impacted you personally . Caller for 21 2 months all i did every day was go on the w ....

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CSPAN2 Key Capitol Hill Hearings March 21, 2014

Which seem to come up almost annually . There is always something that comes up where science can likely inform and i think this was the case where we did quite a bit of air sampling and air modeling. We did really quite a bit of support for japan and i think there was a very positive story that came out of this understanding, what happened at the site and what it means to japan and u. S. Citizens as well or to the continental United States. There are other places. We have been working for a good year or so on trying to look at governance models. How we work, how many agencies can, and partner with us at our National Laboratories to solve some of their interesting problems. What is the way we can engage other agencies to answer their Strategic Issues using the tools we have like oak ridge or other
United States , District Of Columbia , Howard Paul , Sandia Tom , Good Year , Us National , Us National Laboratories , National Laboratories , Strategic Issues , Like Oak , Oak Ridge , Oak Ridge National , Ridge National , Janet Napolitano , Partnership Model , Relationship Department , Department Energy , Department Energy Department , Energy Department , Department Homeland , Department Homeland Security , Homeland Security , Aviation Security , Elastic Energy , Program Tour , Tour De ,

"Quality-related locally weighted soft sensing for non-stationary proce" by Yuxue Xu, Yun Wang et al.

Soft sensors are widely used to predict quality variables which are usually hard to measure. It is necessary to construct an adaptive model to cope with process non-stationaries. In this study, a novel quality-related locally weighted soft sensing method is designed for non-stationary processes based on a Bayesian network with latent variables. Specifically, a supervised Bayesian network is proposed where quality-oriented latent variables are extracted and further applied to a double-layer similarity measurement algorithm. The proposed soft sensing method tries to find a general approach for non-stationary processes via quality-related information where the concepts of local similarities and window confidence are explained in detail. The performance of the developed method is demonstrated by application to a numerical example and a debutanizer column. It is shown that the proposed method outperforms competitive methods in terms of the accuracy of predicting key quality variables. ....

Latent Variables , Ocally Weighted Modeling , Quality Prediction , Soft Sensor , Upervised Bayesian Network ,