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ConvexHull
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Think of the simplest case when $\Phi$ is a skalarscalar value.

Not well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0)^{-1}0^T ~ y = \frac{1}{0} 0~y= \frac{0}{0} $$

Well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0 + \kappa)^{-1}0^T~y =\frac{1}{\kappa} 0 ~y= 0 $$

Think of the simplest case when $\Phi$ is a skalar value.

Not well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0)^{-1}0^T ~ y = \frac{1}{0} 0~y= \frac{0}{0} $$

Well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0 + \kappa)^{-1}0^T~y =\frac{1}{\kappa} 0 ~y= 0 $$

Think of the simplest case when $\Phi$ is a scalar value.

Not well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0)^{-1}0^T ~ y = \frac{1}{0} 0~y= \frac{0}{0} $$

Well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0 + \kappa)^{-1}0^T~y =\frac{1}{\kappa} 0 ~y= 0 $$

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ConvexHull
  • 1.5k
  • 1
  • 5
  • 11

Think of the simplest case when $\Phi$ is a skalar value.

Not well definedNot well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0)^{-1}0^T ~ y = \frac{1}{0} 0~y= \frac{0}{0} $$

Well definedWell defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0 + \kappa)^{-1}0^T~y =\frac{1}{\kappa} 0 ~y= 0 $$

Think of the simplest case when $\Phi$ is a skalar value.

Not well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0)^{-1}0^T ~ y = \frac{1}{0} 0~y= \frac{0}{0} $$

Well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0 + \kappa)^{-1}0^T~y =\frac{1}{\kappa} 0 ~y= 0 $$

Think of the simplest case when $\Phi$ is a skalar value.

Not well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0)^{-1}0^T ~ y = \frac{1}{0} 0~y= \frac{0}{0} $$

Well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0 + \kappa)^{-1}0^T~y =\frac{1}{\kappa} 0 ~y= 0 $$

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ConvexHull
  • 1.5k
  • 1
  • 5
  • 11

Think of the simplest case when $\Phi$ is a skalar value.

Not well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0)^{-1}0^T ~ y = \frac{1}{0} 0~y= \frac{0}{0} $$

Well defined:

$$ \boldsymbol \theta^\text{ML} = (0^T 0 + \kappa)^{-1}0^T~y =\frac{1}{\kappa} 0 ~y= 0 $$