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      <title>Wrap CB2 by rohayanti hasan</title>
      <link>https://padlet.com/rohayanti/wrapCB2</link>
      <description>CB2</description>
      <language>en-us</language>
      <pubDate>2018-05-22 01:15:42 UTC</pubDate>
      <lastBuildDate>2025-03-21 01:39:26 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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      <item>
         <title>Neural Network - Khairunnisa</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541135</link>
         <description><![CDATA[<div>what type of heuristic search is neural network?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:24:48 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541135</guid>
      </item>
      <item>
         <title>Naive Bayes - nabilah</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541154</link>
         <description><![CDATA[<div>What is the basic concept of Naive Bayes?<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:24:54 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541154</guid>
      </item>
      <item>
         <title>Fuzzy Logic-mun</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541243</link>
         <description><![CDATA[<div>Q: Describe about fuzzy C-means?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:25:32 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541243</guid>
      </item>
      <item>
         <title>Naive Bayes (Masihta)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541252</link>
         <description><![CDATA[<div>State the algorithm used in Naive Bayes.</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:25:35 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541252</guid>
      </item>
      <item>
         <title>Naive Bayes (Syahindah)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541300</link>
         <description><![CDATA[<div>Q: State the advantages of using Naive Bayes Classifier</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:25:50 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541300</guid>
      </item>
      <item>
         <title>Naive Bayesian (Amirah A)</title>
         <author>myradarada1710</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541306</link>
         <description><![CDATA[<div><br>Q: Which of the given is not a classifier that model the output directly.<br>(a)&nbsp; k-NN<br>(b)&nbsp; Decision trees&nbsp;<br>(c)&nbsp; Naive Bayes<br>(d)&nbsp; SVM&nbsp;<br><br><br>Q: Calculate the mean for the given numbers,<br>25.2 &nbsp; 19.3 &nbsp; 18.5 &nbsp; 21.7 &nbsp; 20.1 &nbsp; 24.3 22.8 &nbsp; 23.1 &nbsp; 19.8&nbsp;<br>Answer :&nbsp;</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:25:52 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541306</guid>
      </item>
      <item>
         <title>Neural Network (Hajar)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541324</link>
         <description><![CDATA[<div>&nbsp;1. Why do we need biological neural networks?&nbsp;<br>&nbsp;a) to solve tasks like machine vision &amp; natural language processing<br>b) to apply heuristic search methods to find solutions of problem<br>c) to make smart human interactive &amp; user friendly system<br>d) all of the mentioned&nbsp;</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:25:59 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541324</guid>
      </item>
      <item>
         <title>Naive Bayes (Nadira)</title>
         <author>nurulnadiratamrin</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541325</link>
         <description><![CDATA[<div>Name the three methods (models) to establish classifier</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:25:59 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541325</guid>
      </item>
      <item>
         <title>Neural Network (jat)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541340</link>
         <description><![CDATA[<div>Feed-forward Nets contains three input layers in which information is distributed. What is the flow of the information through each layer?<br><br>a. Multidirectional<br>b. One direction<br>c. Unidirectional<br>d. None of above<br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:26:07 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541340</guid>
      </item>
      <item>
         <title>Naive Bayesian(Lee)</title>
         <author>maxinlee004</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541360</link>
         <description><![CDATA[<div>What is the difference between Naive Bayesian network and Naive Bayes Classifier?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:26:14 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541360</guid>
      </item>
      <item>
         <title>Neural network (Shafiqah Mislani)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541375</link>
         <description><![CDATA[<div>State one objective of neural network?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:26:23 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541375</guid>
      </item>
      <item>
         <title>Naive bayes(Fauzan</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541382</link>
         <description><![CDATA[<div>What advantages using naive bayes?<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:26:25 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541382</guid>
      </item>
      <item>
         <title>Support Vector Machine (Aisyah)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541406</link>
         <description><![CDATA[<div>How to control overfitting in SVM?<br><br>Answer by Shafiqah : overfitting can be controlled by soft margin approach<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:26:36 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541406</guid>
      </item>
      <item>
         <title>SVM - Faizah</title>
         <author>nurfaizahwork</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541460</link>
         <description><![CDATA[<div> What is the difference between the soft margin and hard margin of SVM?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:27:01 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541460</guid>
      </item>
      <item>
         <title>Fuzzy Logic (Tan Chung Shzen</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541521</link>
         <description><![CDATA[<div>Is Fuzzy logic is an approach to computing based on "degrees of truth" or "true or false" (1 or 0) Boolean logic?&nbsp;<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:27:36 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541521</guid>
      </item>
      <item>
         <title>Amanina - SVM </title>
         <author>nurulamaninaa95</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541528</link>
         <description><![CDATA[<div>What is the function of support vectors in support vector machine?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:27:41 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541528</guid>
      </item>
      <item>
         <title>Naive Bayes(Syaza)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541529</link>
         <description><![CDATA[<div>What type of features can be used in&nbsp;Naive Bayes ?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:27:41 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541529</guid>
      </item>
      <item>
         <title>Fuzzy C-Means (Ben)</title>
         <author>naveshkumar3011</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541675</link>
         <description><![CDATA[<div>Fuzzy C-Means (FCM) is a clustering method that allows for each data point to belong to multiple<br>clusters with varying degrees of membership. Arrange in order, the steps taken by FCM during clustering.<br><br>I Randomly initialize the cluster membership value<br>II Update the membership value<br>III Calculate the objective function<br>IV Calculate the clusters centers<br>V Repeat the previous steps<br><br>A. I, III, IV, V, II<br>B. I. IV, II, III, V<br>C. IV, III, I, II, V<br>D. I, IV, III, II, V</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:28:42 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541675</guid>
      </item>
      <item>
         <title>SVM (Arfa)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541720</link>
         <description><![CDATA[<div>What is the benefit of using support vector machines (SVM)?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:29:01 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541720</guid>
      </item>
      <item>
         <title>Fuzzy C Means &amp; Clustering (Yap)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541737</link>
         <description><![CDATA[<div>How does fuzzy clustering works?<br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:29:09 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541737</guid>
      </item>
      <item>
         <title>SVM (ATIKAH)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541757</link>
         <description><![CDATA[<div>The SVM's&nbsp; are less effective when:<br>a) The data is linearly separable<br>b) The data is clean and ready to use<br>c) The data is noisy and contains overlapping points</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:29:18 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541757</guid>
      </item>
      <item>
         <title>Fuzzy (Vicknesh)</title>
         <author>rao_vicknesh</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541805</link>
         <description><![CDATA[<div><br></div><div>Fuzzy c-means (FCM) is based on the minimization of the following function. ( sila rujuk gambar di bawah)<br>Based on the function below what is <strong>D</strong> define?&nbsp;</div><div><br></div><div><strong>A</strong>: number of data points&nbsp;<br><strong>B</strong>: number of cluster&nbsp;<br><strong>C</strong>: the center of the cluster&nbsp;<br><strong>D</strong>: the data point.&nbsp;<br><br></div>]]></description>
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         <pubDate>2018-05-22 01:29:39 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541805</guid>
      </item>
      <item>
         <title>Support Vector Machine (Shafiqah Izham)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541818</link>
         <description><![CDATA[<div>What is the weakness of SVM?<br>Answered by Aisyah:<br>1) Sensitive to noise&nbsp;<br>2) Only considered two clases</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:29:45 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541818</guid>
      </item>
      <item>
         <title>Neural Network (Amirah M)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541837</link>
         <description><![CDATA[<div><br>Which of the following is true for neural network?<br>i) The training time depends on the size of the network&nbsp;<br>ii) Neural networks can be simulated on a conventional computer.<br>iii) Artificial neurons are identical in operation to biological ones<br>(a) all<br>(b) ii) only<br>(c) i) and ii) only </div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:29:56 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541837</guid>
      </item>
      <item>
         <title>Neural Network (Nurizatie)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541857</link>
         <description><![CDATA[<div>1. A preceptron is:<br>a) a single layer feed-forward neural network pre-processor<br>b) an auto associative neural network<br>c) double layer auto associative network<br><br>2. What are the advantages of neural networks over conventional computers?<br><br>(i) They have the ability to learn by example<br>(ii) They are more fault tolerant<br>(iii)They are more suited for real time operation due to their high 'computational' rates<br><br>a) (i) and (ii) are true<br>b) (i) and (iii) are true<br>c) all of them are true</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:30:03 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541857</guid>
      </item>
      <item>
         <title>SVM (Amy)</title>
         <author>amynatasha9</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262541940</link>
         <description><![CDATA[<div>What would a diagram look like for a support vector machine that has overfit data?<br><br><strong>Picture answer:</strong></div>]]></description>
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         <pubDate>2018-05-22 01:30:49 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262541940</guid>
      </item>
      <item>
         <title>SVM - Eliviani</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262542112</link>
         <description><![CDATA[<div>Q)The effectiveness of an SVM depends upon:<br>A) Selection of Kernel<br>B) Kernel Parameter<br>C) Soft margin Parameter C<br>D) All of the above</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:32:19 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262542112</guid>
      </item>
      <item>
         <title>Fuzzy C Means(Naza)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262542609</link>
         <description><![CDATA[<div>1.What is Fuzzy C means???<br>2.What is the function of centroid in Fuzzy C???</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:36:02 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262542609</guid>
      </item>
      <item>
         <title></title>
         <author>nurulnadiratamrin</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262543725</link>
         <description><![CDATA[: Which of the given is not a classifier that model the output directly.
(a)  k-NN
(b)  Decision trees 
(c)  Naive Bayes
(d)  SVM 
Answer: c


Q: Calculate the mean for the given numbers,
25.2   19.3   18.5   21.7   20.1   24.3 22.8   23.1   19.8 
Answer : 21.64]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:43:36 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262543725</guid>
      </item>
      <item>
         <title>Fuzzy Clustering Validation(Ammar) ¯\_(ツ)_/¯ </title>
         <author>zhynthux95</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262544325</link>
         <description><![CDATA[<div>1.  How do fuzzy clustering difffers from k-means function?</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:47:59 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262544325</guid>
      </item>
      <item>
         <title>fuzzy(abner)</title>
         <author></author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262545611</link>
         <description><![CDATA[<div>The objects on<br>the boundaries between several classes are not forced to fully<br>belong to one of the cluster or classes only, but rather are assigned membership<br>degrees indicating their partial membership. <br><br>(TRUE)(FALSE)</div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 01:57:42 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262545611</guid>
      </item>
      <item>
         <title></title>
         <author>maxinlee004</author>
         <link>https://padlet.com/rohayanti/wrapCB2/wish/262546024</link>
         <description><![CDATA[type of heuristic search is neural network?]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 02:01:15 UTC</pubDate>
         <guid>https://padlet.com/rohayanti/wrapCB2/wish/262546024</guid>
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