PPT-T opic
Author : cheryl-pisano | Published Date : 2017-04-28
models Thomas R Bruce Sara Frug Legal Information Institute Cornell University Four questions well answer What is unsupervised topic modeling What is it good for
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T opic: Transcript
models Thomas R Bruce Sara Frug Legal Information Institute Cornell University Four questions well answer What is unsupervised topic modeling What is it good for What have we and others used it for. brPage 1br HT OLT 2IEHA AD IS O LL HTS ESE ED APHICRAI ER 7HART 1057347573475734757347573475734757347 66573475734757347573477 OPIC 7AT NOW 7AT 7 If drops quic kly with then pro cess hanges quic kly with time its time samples ecome uncorrelated er short erio of time Con ersely when drops slo wly with samples are highly correlated er long time Th us is measure of the rate of hange of with time of Computer Science UC Irvine Irvine CA 926973425 USA Thomas Gri57358ths Dept of Psyc hology Stanford Univ ersit Stanford CA 94305 USA Mark Steyv ers Dept of Cognitiv Sciences UC Irvine Irvine CA 92697 USA adhraic Sm yth Dept of Computer Science UC Nonstationary Pro cesses Nonstationarit in ariance Bo xCo transformation Nonstationarit in mean Eliminate the trend term di64256erencing 2 ARIMA Mo dels Random alk In tegrated Pro cess Homogenous Nonstationarit 3 orecasting brPage 3br Nonstationary If drops quic kly with then pro cess hanges quic kly with time its time samples ecome uncorrelated er short erio of time Con ersely when drops slo wly with samples are highly correlated er long time Th us is measure of the rate of hange of with time of So California Figure 1 om an input triangulated eometry the curvatur tensor 57346eld is estimated then smoothed and its umbilics ar deduced color ed dots Lines of curvatur es following the principal dir ections ar then tr aced on the surface with and quality of comparisons have increased but a satisfactory predictive capability for the key research questions has not been achieved brPage 2br EC opic 1 1 Partnerships with Experimentalists and International Programs Goals Evaluate and extend Trials T opic PI PS 1 AGOG - 06 - 001 Phase III Randomized Trial of Maintenance Pegylated Liposomal Doxorubicin (PLD) / Carboplatin versus without in Patients with Advanced Ovarian Cancer Chyong - able Of Contents T opic Foreword3Chapter 1.Buying A Doberman4Chapter 2. The First Paw-Marks10Chapter 3. Choose Your Dobe12Chapter 4.An Addition To The Family19Chapter 5. Follow The Leader35Chapter 6. * "OPIC"(Optical IC) is a trademark of the SHARP Corporation. An OPIC consists of a light-detecting element and a signal- 2Sheet No.: D3-A04801EN GP1A75EJ000F Internal Connection DiagramOutline Dimens Presentation by:. N.SHASHANK REDDY-BT14EEE058. NAITIK ATUL SHAH-BT14EEE059. N.HARSHITHA-BT14EEE060. N.HARSHA VARDHAN REDDY-BT14EEE061. NIKITA BHAWARE-BT14EEE062. WELDING. . It is the process of joining two pieces of metal at . Host Country: Indonesia Name of Borrower: PT Energi Bayu Jeneponto Project Description: The development, construction, commissioning and operation of MW wind farm in IndonesiaThe Project will bene 1 Host Country Afghanistan Safi Apparel Corporation Project Description To reopen Safi146s apparel manufacturing facility in Kabul the 147Project148 1850000 35 of total Project costs up to 7 yea II. Post Development Stage - Sale to Host Government. I. Development Stage . –. GreenStreet Africa Development Company Ownership of All Intangible Assets *. Dist. . Gen. System #1. Dist. . Gen. System .
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