... e.g Lee and Myaeng’s (2002) genre and subject detection work and Boulis and Ostendorf’s (2005) work on feature selection for topic classification For our LM classifiers, we followed Boulis and Ostendorf’s ... development and test sets The dev and test sets are the same size and each consist of approximately 5% of the data for each grade level measures For comparison to other methods, e.g Flesch-Kincaid and ... development set and test set, respectively The grade and classifiers have the best performance, probably because grade and must be distinguished from other classes at both higher and lower levels...
... III and e Marcu (2005)’s R-2 score was 0.071 [0.067–0.074] and R-SU4 was 0.126 [0.123–0.129] and it is better than the DUC-2005 Fisher and Roark supervised approach with an R-2 of 0.066 and an ... text in the SCU label and all its contributors is stemmed and stop words are removed, obtaining a set of stem vectors for each SCU The system summary text is also stemmed and freed from stop words ... (which happens in The mean, median, standard deviation and histogram of the overlapping distribution are calculated and included as features this case), and a simple iterative procedure called...
... ` `9' h )' R ` Ơ 6ƠHD#@#Vq kFsvHIPH&H&@3F9 pn#ƠHbq 400 500 600 700 Number of Support Vectors 800 900 1000 X 300 0.5 0 0.5 1.5 2.5 3.5 Number of Samples 4.5 x 10 41 Time (hours) ... F9 0 300 0.5 1.5 2.5 3.5 Number of Samples x 10 4 4.5 0.5 400 Time (hours) Number of Support Vectors 1.5 2.5 3.5 500 600 700 800 900 4.5 1000 G 9' ) & ) b X & G RrAA )1 RA y 15 A5' B X )'...
... et al.: An occupancy-based and channelaware multi-level adaptive scheme for video communications over wirelesschannels EURASIP Journal on Wireless Communications and Networking 2011 2011:199 ... streaming on-demand scalable variable bit rate (VBR) video over wireless networks They used temporal scalability with one base layer (BL) and one enhancement layer (EL) in their simulations and assumed ... length and inter-starvation distance (1) where Q(·) is the Q function and Eb/N0 = Es/(N0 log2 M) is the per-bit signal-to-noise ratio (SNR) On the other hand, for the BER over Rayleigh fading channels, ...
... ECOMP is then expanded to make use of both time diversity and frequency diversity to investigate the trade-off between throughput and delay EURASIP Journal on Wireless Communications and Networking ... Wireless Communications and Networking References [1] C Eklund, R B Marks, S Ponnuswamy, K L Stanwood, and N J van Waes, WirelessMAN: Inside the IEEE802.16 Standard for Wireless Metropolitan Networks, ... multicast throughput? And if it can, in which case channel gain knowledge is most pronounced and in which case the gain provided by this side EURASIP Journal on Wireless Communications and Networking...
... Linear support vectormachines Nonlinear support vectormachines Multiclass support vectormachines Other issues Challenges for kernel methods and SVMs 10 Linear support vectormachines The linearly ... Linear support vectormachines Nonlinear support vectormachines Multiclass support vectormachines Other issues Challenges for kernel methods and SVMs 36 Multiclass support vectormachines Multiclass ... optimal weight vector 18 Content Introduction Linear support vectormachines Nonlinear support vectormachines Multiclass support vectormachines Other issues Challenges for kernel methods and SVMs...
... applications and functions of radar systems can be categorized as follows: search and warning, tracking and measurement, imaging (identification), and control and communications 2.1.1 Tracking and measurement ... transmitter is the cell’s receiver and vice versa Within the assigned bands, 666 separate channels are assigned for voice and control, 333 in each band The bandwidth for each channel is 30 kHz ... termed wireless, a term that is becoming more and more commonplace and that might well be the buzz word of the 1990s as those technologies develop and thrive If you stop and think about it, wireless...
... Pharmacology, 2003 C.Cortes and V.Vapnik Support vector networks Machine Learning, 20(3) : 273 – 297, September 1995 N.Cristianini and Taylor J.S An Introduction to Support Vector Machines. Cambridge University ... differential manifold and Riemannian geometry Academi Press, Orlando, 1986 C.Burges.Geometry and invariance in kernel based methods In MIT Press, editor, Adv in kernel methods : Support vector learning, ... TÍNH TOÁN VÀ MÔ PHỎNG 16 S Amari and S Wu Improving support vector machine classifiers by modifying kernel functions Neural Networks, 12(6) : 783-789,1999 S Amari and S Wu An information-geometrical...
... Voltage and Frequency 7.4 Operation from a Source of Variable Frequency and Voltage 7.5 Controllers for PMAC Machines 7.6 Brushless DC Machines 81 81 81 82 82 Line Controlled Rectiers 8.1 1- and ... understanding of modern machinesand drives Power electronics are introduced, at the device and systems level, and electrical drives are discussed Equations are kept to a minimum, and in the examples ... amplitudes and v , and initial phases, i and v , and the same frequency, = 2/T 2f : i v(t) i(t) = v sin(t + v ) = sin(t + i ) i (1.2) (1.3) In this case the rms values of the voltage and current...
... steps low and S1 and S2 are opened and S3 and S4 are close The armature * current decreases until ia = ia − ε , at which time the comparator output becomes high; S1 and S2 are closed and S3 and S4 ... 10.11-2) When the output of this comparator (L) is high, S1 and S2 are closed and S3 and S4 are open; when L is low, S3 and S4 are closed and S1 and S2 are open The action of this type of current control ... state, which occurs over interval A, S1 and S2 are closed and S3 and S4 are open The second state occurs over interval B, wherein the S3 and S4 are closed and S1 and S2 are open As in the case of the...
... of support vectormachines using sequential minimal optimization In Bernhard Schă lkopf, Christopher J.C Burges, and o Alexander J Smola, editors, Advances in Kernel Methods: Support Vector Learning, ... examples é Support VectorMachines ề Build an initial classier The gure described here is based on the algorithm by Lewis and Gale (1994) for their sequential sampling algorithm Tong and Koller (2000) ... various sources such as newspapers, magazines, and textbooks It contains 208,000 sentences We selected randomly 20,000 sentences for training and Hiragana and katakana are phonetic characters which...
... pBT-4CL1 and pPTN289 using NcoI/XbaI, we received results as in Figure 2A In line 1, vector pBT-4CL1 was digested into bands, the first band (about 2.7kb) is the linear backbone of vector pBT, and ... cloning vector pBT4CL1 contains NcoI and XbaI sites in the two ends of 4CL1 gene As the same, vector pPTN289 contains NcoI and XbaI sites in the two ends of GUS-plus gene After digested vector ... in cloning vector pBT-4CL1 (with NcoI/XbaI sites at two ends of 4CL1 gene) Vector pPTN289-GUSplus selection gene with bar Vector pPTN289 and pBT-4CL1 were double digested with NcoI and XbaI restriction...
... Because tokens and arcs are scored independently and coupled only through score comparison, the impact of Vine a and None a on classification speed should be no greater than doing vine and token-role ... speed and precision In CoNLL Jason Eisner and Noah A Smith 2005 Parsing with soft and hard constraints on dependency length In IWPT Pedro F Felzenszwalb, Ross B Girshick, David McAllester, and ... support vectormachines In IWPT Ainur Yessenalina, Yisong Yue, and Claire Cardie 2010 Multi-level structured models for document-level sentiment classification In EMNLP 205 Chun-Nam John Yu and Thorsten...
... terms [E, and [E, z] in (1) and (2), it will be useful to know the ‘ ± ’ splittings for these two bundles: 1] (3) For [E, the summand E− is and E+ = E (4) For [E, z] the summand E+ is and E− = ... orthogonal vector fields v+ and w+ on the northern hemisphere D+ of S in the following way Start with a standard pair of orthogonal vectors at each point of a flat disk D as in the left-hand figure ... doing this, producing, in the case of complex vector bundles, groups K(X) and K(X) with K(X) ≈ K(X) ⊕ Z , and for real vector bundles, groups KO(X) and KO(X) with KO(X) ≈ KO(X) ⊕ Z Complex K–theory...
... terms [E, and [E, z] in (1) and (2), it will be useful to know the ‘ ± ’ splittings for these two bundles: 1] (3) For [E, the summand E− is and E+ = E (4) For [E, z] the summand E+ is and E− = ... orthogonal vector fields v+ and w+ on the northern hemisphere D+ of S in the following way Start with a standard pair of orthogonal vectors at each point of a flat disk D as in the left-hand figure ... doing this, producing, in the case of complex vector bundles, groups K(X) and K(X) with K(X) ≈ K(X) ⊕ Z , and for real vector bundles, groups KO(X) and KO(X) with KO(X) ≈ KO(X) ⊕ Z Complex K–theory...