HAMD

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Acronym	Definition
HAMD	Hamilton Rating Scale for Depression
HAMD	Hamming Distance
HAMD	Helicopter Ambulance Medical Detachment

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References in periodicals archive ?

Using greater value of w is shown to enhance the locality of two similar samples, since the average hamming distance between the keys, which generated using more shingles, is smaller; see Figure 4.4.

Locality preserving scheme of text databases representative in distributed information retrieval systems

To account for eye rotation, the Hamming distance is computed for several different permutations of the bits corresponding to the different angles of rotations.

Privacy preserving iris based biometric identity verification/Issaugantis privatuma, akies raineles analize gristas, biometrinio tapatumo verifikavimas

For binary strings a and b, the Hamming distance is equal to the number of ones in a XOR b.

Interpretation of neural network technologies for prerdiction and management of risk factors/ Neuroniniu tinklu technologiju, skirtu rizikos veiksniu numatymui ir ju valdymui, aiskinimas

The Euclidean square distance coincides with the Lee distance and the Hamming distance over [Z.sub.2] and [Z.sub.3].

Plotkin's bound in codes equipped with the Euclidean weight function

J = argmin d (F[bar]x),[m.sub.r], where d(.,.) is Hamming distance defined by (20), [m.sub.r] is the r-th row of M.

A novel algorithm model for multi-class classification

We are mainly concerned with polynomials over the two element finite field and where the distance measure is the Hamming distance between polynomials of the same degree.

Hamming distance from irreducible polynomials over [F.sub.2]

In this case, input patterns that we want to classify are keywords set and not 0-1 binaries vectors, so Hamming distance can't be used, for this reason we have developed a particular kind of metrics that we can call "semantic metrics." We can use it both in the intrasystem elaboration process and in the intra-systems communication; in the latter case we can transmit the learning objects using XML-RPC protocol and the receiving system can analyze and classify the documents, processing semantic keywords labels through the algorithm we are going to explain.

Advanced technologies for contents sharing, exchanging, and searching in e-learning systems

Then, using a normalized Hamming distance, the fitness function f(t) = 1 - d(I, t(I)) is known to have a global maximum at 1, and may have several local maxima.

A comparison of different evolutive niching strategies for identifying a set of selfsimilar contractions for the IFS inverse problem

m_dist(D) = min{h I| [Exist] x [Epsilon] M(S, h), [Inverted A] d [Epsilon] D, 0 [is less than] CurrWt(d,/x)} m_ wt(D) = max min CurrWt(d, x) x [Epsilon] M (s,m_dist(D)) d [Epsilon] D MutScore(D) = max{0, [h.sub.max] - m_dist(D) + m_wt(D)} where [h.sub.max] bounds the maximum Hamming distance considered, CurrWt(d, x) applies CurrWt to d using x instead of S, and M(S, h) is the set of mutants of S at Hamming distance h.

Knowledge-Based Avoidance of Drug-Resistant HIV Mutants

The direct network on the other hand processes only those bits that need correction (one per cycle), thereby routing the packet in h cycles, where h = H(S, D) is the Hamming distance between S and D.

Cube structures for multiprocessors

The normalized Hamming distance between [m.sub.1] and [m.sub.2] is defined as:

VIKOR based MAGDM Strategy with Trapezoidal Neutrosophic Numbers

(ii) The Hamming distance can represent population diversity properly.

Different Performances of Different Intelligent Algorithms for Solving FJSP: A Perspective of Structure