Answer:To simplify the discussion, we will only consider two-class classifiers in this section and define a linear classifier as a two-class classifier that decides class membership by comparing a linear combination of the features to a threshold.
Figure 14.8: There are an infinite number of hyperplanes that separate two linearly separable classes.
\includegraphics[width=6cm]{vclassline.eps}
In two dimensions, a linear classifier is a line. Five examples are shown in Figure 14.8 . These lines have the functional form $w_1x_1+w_2x_2=b$. The classification rule of a linear classifier is to assign a document to $c$ if $w_1x_1+w_2x_2>b$ and to $\overline{c}$ if $w_1x_1+w_2x_2\leq b$. Here, $(x_1, x_2)^{T}$ is the two-dimensional vector representation of the document and $(w_1, w_2)^{T}$ is the parameter vector that defines (together with $b$) the decision boundary. An alternative geometric interpretation of a linear classifier is provided in Figure 15.7 (page [*]).
We can generalize this 2D linear classifier to higher dimensions by defining a hyperplane as we did in Equation 140, repeated here as Equation 144:
\begin{displaymath}
\vec{w}^{T}\vec{x} = b
\end{displaymath} (144)
The assignment criterion then is: assign to $c$ if $\vec{w}^{T}\vec{x} > b$ and to $\overline{c}$ if $\vec{w}^{T}\vec{x} \leq b$. We call a hyperplane that we use as a linear classifier a decision hyperplane .
Figure 14.9: Linear classification algorithm.
\begin{figure}\begin{algorithm}{ApplyLinearClassifier}{\vec{w},b,\vec{x}}
score ...
...in{IF}{score>b}
\RETURN{1}
\ELSE
\RETURN{0}
\end{IF}\end{algorithm}
\end{figure}
The corresponding algorithm for linear classification in $M$ dimensions is shown in Figure 14.9 . Linear classification at first seems trivial given the simplicity of this algorithm. However, the difficulty is in training the linear classifier, that is, in determining the parameters $\vec{w}$ and $b$ based on the training set.
Explanation:
Answer:
The correct answer to this question is given below in the explanation section.
Explanation:
The correct question is:
what feature is available to add a suggestion in the margin of someone else's document. The given features in this question are:
- Annotation
- Comments
- Highlight and
- Bookmark
The correct answer to this question is the Comments.
Because you can add comments in someone else's document and only Comments features in word document allow you add comments on the someone else's document.
While the other options are not correct because:
The Annotation works with grammar or writing, Highlight feature allows you to mark important information or text in your document. while Bookmark allows you to save your space in a document.
Answer to number two is b, 3 is b, those are the ones i know
Answer:
Business Intelligence
Explanation:
The approach uses tools to access & analyze data sets and present analytical findings in reports, summaries, dashboards, maps, charts and graphs to provide users with detailed intelligence about the state of the business.
Business intelligence uses softwares and services to convert data into actionable insights that inform an organization’s strategic and tactical business decisions.
