Sentence examples for weak hypothesis from inspiring English sources
Step 2: Obtain weak hypothesis h t : X → { - 1, + 1 }. with error ε t = ∑ i : h t ( x i ) ≠ y i D t ( i ).
The final strong classifier, which is a weighted majority of T weak hypothesis, is given as H ( x ) = sign ∑ t ∈ T α t h t ( x ).
Perhaps the most popular is an iterative weight modification mechanism, according to which examples have their weights decreased iff they receive the right class by the current discrete weak hypothesis.
We prove, under a very weak hypothesis of regularity on the support (Supp μ) ofμ, that this measure is characterized by its boundary values (in the weak sense of currents) of the current [T]∧ϕ, whereTis an analytic subset of dimension 1 of Cn\Supp μandϕis a holomorphic (1, 0 -form onT.
Such borderline significance meant that the association should be treated as a weak hypothesis.
Because rec-8 mutants produce mostly 12 univalents, it is a relatively weak hypothesis that rec-8 him-8 would be different than rec-8 alone.
The new abstract theorems are applied to find nodal solutions to elliptic equations under rather weak hypotheses.
In our generalization, this property does not hold anymore, as examples that receive the right class can still be reweighted higher with real-valued weak hypotheses.
Consequently, many researchers, following the Banach contraction principle, investigated the existence of weaker contractive conditions or extended previous results under relatively weak hypotheses on the metric space.
f(x)={displaystyle sum_{t=1}^T}{alpha}_t{h}_t(x) (10 where {aloga}_t=frac{1}{2}frac{ left 1-upvarepsilonileft 1-upvarepsilon}{upvarepsilon mathrm{t}right)are weights of the weak hypotheses in the network.
Scaling discrete AdaBoost to handle real-valued weak hypotheses has often been done under the auspices of convex optimization, but little is generally known from the original boosting model standpoint.
