• ...the Chernoff distance in the case of Normally distributed data. In section 3.2, some examples for the Chernoff bound are provided. ...\Re Prob \big(error \mid x\big) \rho \big(x\big) dx \text{......Eq.(2.3)}
    17 KB (2,590 words) - 10:45, 22 January 2015
  • \begin{cases} \end{cases} </math>
    29 KB (4,474 words) - 13:58, 22 May 2015
  • |<math> \sin x \ = \ x \ - \ \frac{x^3}{3!} \ + \ \frac{x^5}{5!} \ - \ \frac{x^7}{7!} \ + \ \cdots, \quad \text{ for ...+ \binom{n}{1} a^{n-1}x + \binom{n}{2} a^{n-2}x^2 + \binom{n}{3} a^{n-3}x^3 + \ldots + x^n \\
    15 KB (2,182 words) - 18:14, 27 February 2015
  • There are four cases that arise which one must consider: <b> Case 3 </b>: Denominator contains irreducible quadratic factors, none of which is
    4 KB (602 words) - 13:49, 3 March 2015
  • \begin{cases} \end{cases} </math>
    8 KB (1,517 words) - 17:56, 26 February 2015
  • '''3. (30 Points)''' <math class="inline">cov\left(\mathbf{X}_{j},\mathbf{X}_{k}\right)=\begin{cases}
    5 KB (928 words) - 17:46, 13 March 2015
  • ! style="background: none repeat scroll 0% 0% rgb(238, 238, 238);" colspan="3" | (double-sided) [[info_z-transform|Z Transform]] and its Inverse \begin{cases}
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  • &= \begin{cases} \frac{1}{1-\frac{1}{z}}, & |z| > 1 \\ diverges, & else \end{cases} === Answer 3 ===
    3 KB (431 words) - 09:09, 4 March 2015
  • '''Part 3.''' '''3. (30 Points)'''
    5 KB (780 words) - 01:25, 9 March 2015
  • '''Part 3.''' 25 pts ...E-QE_CS1-2011_solusion-3|here]] to view student [[ECE-QE_CS1-2011_solusion-3|answers and discussions]]'''
    4 KB (547 words) - 16:40, 30 March 2015
  • 3. \text{ Multiply step 2 by the filter } H(\rho) = |\rho| = f_c \left [ rect 4. \text{ Compute inverseFT of step 3.}
    17 KB (2,783 words) - 01:51, 31 March 2015
  • Fig. 3 ...rious if such a configuration was possible. Observing that there are only 3 binary variables, a binary table can be constructed by consulting the sign
    3 KB (474 words) - 15:17, 1 May 2016
  • ...he elements of the output vector and '''x<sub>1</sub>,x<sub>2</sub>, x<sub>3</sub>''' ... are each of the elements of the input vector. ==== Example #3: ====
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  • '''Problem 3.''' 25 pts <math class="inline">f_{X}\left(x\right)=\begin{cases}
    3 KB (449 words) - 21:36, 5 August 2018
  • ...und''' is one such upper bound which is reasonably easy to compute in many cases. Therefore we will present this bound, and then discuss a few results that ...math> belongs in class <math> 1 </math>, and vise versa. Although, in many cases calculating <math>\rho(\omega_i | x)</math> is impossible, or extremely dif
    13 KB (2,062 words) - 10:45, 22 January 2015
  • ...e classification task with examples, and how we can derive it in different cases. The following sections describe two cases of classification. One is where data exist in 1-dimensional feature space a
    19 KB (3,255 words) - 10:47, 22 January 2015
  • ==Part 3: Examples of MLE (Analytically Tractable Cases)== ...3-statistics-for-applications-fall-2006/lecture-notes/lecture3.pdf Lecture 3: Properties of MLE: consistency, asymptotic normality. Fisher information],
    3 KB (427 words) - 10:50, 22 January 2015
  • ...r>the following probability mass functions for each of the above mentioned cases:'''<br>''' <math>Pr(H = 49 | p = {1}/{3}) = \binom{80}{49}(1/3)^{49}(1 - 1/3)^31 \approx 0.000</math><br>
    25 KB (4,187 words) - 10:49, 22 January 2015
  • Then we provide examples for the cases of 1D and 2D features, and we derive Bayes rule for minimizing risk in these cases.
    12 KB (1,810 words) - 10:46, 22 January 2015
  • ...timation states that, for N Observations x<sub>1</sub>,x<sub>2</sub>,x<sub>3</sub>,...,x<sub>n</sub> the density at a point x<sub>0</sub> can be approxi The above claim is true only in cases where the window function <math>\phi</math> defines a region R with well de
    10 KB (1,743 words) - 10:54, 22 January 2015
  • [[Category:3 Cases]] ...i)-\frac{d}{2} \ln 2\pi -\frac{1}{2}\ln |\mathbf{\Sigma}_i|+\ln P(w_i)~~~~(3)
    14 KB (2,287 words) - 10:46, 22 January 2015
  • ...guarantee that sufficient number of samples are used for training. In some cases, small sample sizes could lead to an accidental characteristics where it wi ...) \geq D(\vec{x_{1}},\vec{x_{3}}), \forall \vec{x_{1}},\vec{x_{2}},\vec{x_{3}} \in S</math>
    14 KB (2,313 words) - 10:55, 22 January 2015
  • ...ocally estimate density function by a small number of neighboring samples [3] and therefore show less accurate estimation results. In spite of their acc and displayed in Figure 1(a) and 1(b) below such cases where <math>d</math> = 1 and <math>d</math> = 2, respectively.
    11 KB (1,824 words) - 10:53, 22 January 2015
  • In both cases, it seems that one could be well-served to try to construct a p.d.f. based ...p(\vec{X})</math> goes to infinity as ''V'' goes to zero. Neither of these cases is helpful in our search for the true <math>p(\vec{X})</math>.
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  • <br>&nbsp; &nbsp;In most cases when n&gt;p, it is impossible to find a solution for <math>\textbf{c}</math ...above three kernel functions. The classfications are illustrated in Fig.1~3. The parameters are tuned by cross-validation. The mis-classification rates
    14 KB (2,241 words) - 10:56, 22 January 2015
  • == '''&nbsp;3. A quick example about ROC in binary classification'''<sup>'''[2]&nbsp;'''< ...e are 3 records in class ''C1'' and 3 in ''C2'', i.e.''P'' = 3 and ''N'' = 3. Column 4 - 7 gives the records counts with the threshold value''t'' set to
    11 KB (1,823 words) - 10:48, 22 January 2015
  • <math>\phi(x) = \rho(x_1,x_2,...,x_n) = \begin{cases} \end{cases}</math>
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  • \begin{cases} \end{cases}
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  • * Derivation of Bayes' rule in discrete and continuous cases. ...will consider the derivation of Bayes rule both in discrete and continues cases.
    7 KB (1,106 words) - 10:42, 22 January 2015
  • ...h>\theta</math> may occur, and needs to guarantee good performance for all cases, then the ML estimator is usually a good choice. =Example 3: pD Gaussuan, <math>(\mu,R)</math> unknown=
    19 KB (3,418 words) - 10:50, 22 January 2015
  • === <br> 3. Practice considerations === ==== 3.1 Log-likelihood ====
    13 KB (1,966 words) - 10:50, 22 January 2015
  • <center>[[Image:runyan3.jpg|frame|none|alt=Alt text|<font size= 4> '''Figure 3''' </font size>]] </center> <br /> # Repeat steps 2 and 3 until the value of <math>J</math> no longer changes
    8 KB (1,350 words) - 10:57, 22 January 2015
  • \begin{cases} \end{cases}
    5 KB (790 words) - 10:01, 14 March 2015
  • <font size = 3>The purpose of Upsampling is to manipulate a signal in order to artificiall <font size = 3>
    3 KB (565 words) - 10:01, 14 March 2015
  • ...solely on the 'r' value that is contained in 'z'. The ROC is one of three cases; :3. The ROC is the space in between two circles centered at the origin.
    6 KB (1,019 words) - 18:11, 23 February 2015
  • =QE2013_AC-3_ECE580-3= ...3_AC-3_ECE580-1|Part 1]],[[QE2013_AC-3_ECE580-2|2]],[[QE2013_AC-3_ECE580-3|3]],[[QE2013_AC-3_ECE580-4|4]],[[QE2013_AC-3_ECE580-5|5]]
    8 KB (1,016 words) - 12:19, 25 March 2015
  • ...3_AC-3_ECE580-1|Part 1]],[[QE2013_AC-3_ECE580-2|2]],[[QE2013_AC-3_ECE580-3|3]],[[QE2013_AC-3_ECE580-4|4]],[[QE2013_AC-3_ECE580-5|5]] ...iplier approach, which is more complicated but would apply to more general cases. Solution 1 is not as general but is simpler for the given problem. They
    2 KB (330 words) - 12:22, 25 March 2015
  • | <math> \int x^{2} ch ax dx=(\dfrac{x^{2}}{a^{2}}+\dfrac{2}{a^{3}}) sh ax-\dfrac{2x}{a^{2}} ch ax +C</math> ...int\dfrac{dx}{(ch ax+1)^{2}}=\dfrac{1}{2a}th\dfrac{ax}{2}-\dfrac{1}{6a}th^{3}\dfrac{ax}{2} +C</math>
    8 KB (1,479 words) - 17:44, 26 February 2015
  • | <math> \int\arg ch\dfrac{a}{x}dx=\begin{cases} ...{x}+\arcsin\dfrac{x}{a}}{x\arg ch\dfrac{a}{x}-\arcsin\dfrac{x}{a}} & .\end{cases} +C</math>
    3 KB (624 words) - 17:52, 26 February 2015
  • |<math> \int x^2 \arcsin \frac {x }{ a}dx = \frac{x^3}{3}\arcsin \frac {x}{a} + \frac {\left( x^2+2a^2 \right) \sqrt { a^2-x^2 }}{9} ...ot 3}+ \frac{1 \cdot 3(x/a)^5}{2 \cdot 4 \cdot 5 \cdot 5} + \frac {1 \cdot 3 \cdot 5 (x/a)^7}{2 \cdot 4 \cdot 6 \cdot 7 \cdot 7} + \cdot \cdot \cdot +C<
    8 KB (1,433 words) - 17:05, 26 February 2015
  • ...rac {ax}{1 \cdot 1!} + \frac {(ax)^2}{2 \cdot 2!} + \frac {(ax)^3}{3 \cdot 3!} + \cdot \cdot \cdot +C</math> \begin{cases}
    3 KB (513 words) - 17:09, 26 February 2015
  • | <math> \int x^{2} sh ax dx=(\dfrac{x^{2}}{a^{2}}+\dfrac{2}{a^{3}}) ch ax-\dfrac{2x}{a^{2}} sh ax +C</math> | <math> \int\dfrac{sh ax}{x} dx=ax+\dfrac{(ax)^{3}}{3\cdot3!}+\dfrac{(ax)^{5}}{5\cdot5!}+\cdots +C</math>
    7 KB (1,378 words) - 17:42, 26 February 2015
  • \begin{cases} \end{cases} </math>
    4 KB (826 words) - 18:06, 26 February 2015
  • ...{ ax + b} = \frac {(ax+b)^2}{2a^3} - \frac {2b(ax+b) }{a^3} + \frac{b^2}{a^3} \ln (ax +b)+C</math> ...{3a^4} - \frac {3b(ax+b)^2 }{2a^4} + \frac{3b^2(ax+b)}{a^4} - \frac{b^3}{a^3}\ln (ax +b)+C</math>
    7 KB (1,373 words) - 18:07, 26 February 2015
  • ...h> \int x^2 \sin a x d x = \frac {2 x}{a^2} \sin a x + \left ( \frac {2}{a^3} - \frac {x^2}{a} \right)\cos a x +C</math> ...}{a^2} - \frac{6}{a^4}\right)\sin a x + \left ( \frac {6x}{a^3} - \frac {x^3}{a} \right)\cos a x +C</math>
    14 KB (2,809 words) - 16:12, 26 February 2015
  • ...that the distribution of stars within a galaxy is accurately modeled by a 3-dimensional homogeneous Poisson process for which the following two facts a ...ius }r\right\} \right)</math><math class="inline">=1-e^{-\frac{4}{3}\pi r^{3}\lambda}.</math>
    2 KB (384 words) - 00:22, 10 March 2015
  • ...ing i.i.d , <math class="inline">\mathbf{X}_{1},\mathbf{X}_{2},\mathbf{X}_{3},\cdots</math> each have finite mean <math class="inline">\mu</math> , and <math class="inline">E\left[\mathbf{X}_{i}\mathbf{X}_{j}\right]=\begin{cases}
    4 KB (699 words) - 11:08, 10 March 2015
  • \begin{cases} \end{cases} </math>
    29 KB (4,417 words) - 15:53, 12 March 2015
  • ...n-1|Part 1]],[[ECE-QE_CS1-2011_solusion-2|2]],[[ECE-QE_CS1-2011_solusion-3|3]] \begin{cases}
    8 KB (1,336 words) - 01:53, 31 March 2015
  • =[[HW3ECE38F15|Homework 3]] Solution, [[ECE438]], [[2015_Fall_ECE_438_Boutin|Fall 2015]], [[user:mbou ==Question 3==
    7 KB (1,181 words) - 19:17, 19 October 2015

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Ph.D. on Applied Mathematics in Aug 2007. Involved on applications of image super-resolution to electron microscopy

Francisco Blanco-Silva