Definitions

1. Computationally, the learning mechanism is designed to simultaneously solve the temporal and structural credit assignment problems.

Security

1. Public key encryption is more computationally intensive and requires a longer key than a symmetric key algorithm to achieve the same level of security.
2. The security of RSA hinges upon a simple assumption: Given N, e, and y = xe mod N, it is computationally intractable to determine x.

Problem

1. Mass spectrometry can, in principle, sequence any size of protein, but the problem becomes computationally more difficult as the size increases.
2. In the Rabin public-key encryption process, the problem faced by a passive adversary is computationally equivalent to factorizing a number. (Web site)

Problems

1. High-performance computing approaches to computationally hard problems in bioinformatics, particularly optimization problems.

Field

1. The field of automated reasoning studies how reasoning may be modelled computationally.
2. The field of protein-protein docking is highly computationally oriented, and it shares approaches with molecular docking.

Coefficient

1. One of the reasons is that the exact confidence interval for the coefficient of variation is computationally tedious.

Transformations

1. The two transformations have the property that, given the public transformation, it is computationally infeasible to derive the private transformation.
2. The method is computationally efficient in that no dimensional distortions, coordinate rotations, transformations, or eigenvector computations are needed. (Web site)

Accurate

1. The combination of these assumptions led to simple shading models, such as Gouraud shading [6] which were computationally e cient but not very accurate.

Passwords

1. If passwords are well chosen, there is no significant threat from password guessing because searching the space is computationally infeasible. (Web site)

Recovering

1. Recovering the private key χ from γ is computationally infeasible, at least as hard as finding square roots mod n (see quadratic residue). (Web site)
2. Since h is a computationally hard-core predicate, recovering h(x) from f(x) with probability greater than one-half is as hard as inverting f. (Web site)

Pca

1. Nonlinear dimensionality reduction techniques tend to be more computationally demanding than PCA. (Web site)

Conceptually

1. Nonlocality is a property of paramount importance both conceptually and computationally exhibited by quantum systems, which has no classical counterpart.

Variables

1. Computationally, regression analysis may be conducted using either a raw data matrix (respondents by variables) or a correlation matrix.

Linear Regression

1. Robust regression is computationally much more intensive than linear regression and is somewhat more difficult to implement as well.
2. Robust regression is much more computationally intensive than linear regression and is somewhat more difficult to implement as well.

Message

1. The same message will always give the same digest, but it should be impossible (strictly, computationally infeasible) to derive the message from the digest. (Web site)

Hash

1. For some one-way hash functions it's also computationally impossible to determine two messages which produce the same hash. (Web site)

Computationally Expensive

1. Approximate solution of PDE's is frequently computationally expensive, even for problems that are conceptually simple. (Web site)
2. The RSA algorithm is computationally expensive, although not unreasonably so for the level of functionality and security it provides. (Web site)

Expensive

1. Maximum likelihood generally performs the best of all methods in simulations, but it is very computationally expensive. (Web site)
2. Phong shading is more computationally expensive than Gouraud shading since the reflection model must be computed at each pixel instead of at each vertex. (Web site)
3. It is more accurate but more computationally expensive to perform the lighting calculation at every fragment. (Web site)

Secure

1. More importantly, we prove that symbolically secure uses of passwords are also computationally secure. (Web site)
2. The MISTY algorithm was more secure, but more computationally intensive, than the modified KASUMI variant.

Variance

1. This computationally implies that all 100% of the variance is common or shared between the variables.

Assumption

1. The discrete logarithm problem dictates that from c, it is computationally infeasible to compute x, so under this assumption, Bob cannot compute x. (Web site)

Theorems

1. We emphasize computationally effective algorithms, and prove theorems by showing that those algorithms really work. (Web site)

Encryption

1. An ideal cryptosystem would have the property that encryption and decryption are easy, but cryptanalysis is computationally infeasible.
2. Despite advances in cryptographic algorithms, encryption and decryption remain computationally intensive tasks. (Web site)

Cryptosystems

1. Cryptography is more concerned with cryptosystems that are computationally infeasible to break.

Models

1. The models currently used (LFG, HPSG, Minimalism) are very powerful, in general too powerful to be computationally tractable in principle.
2. However, for the most part, these models are computationally much harder to deal with and harder to use as tools for qualitative analysis. (Web site)
3. Coupled with body motion, the need to have fine resolution and a large domain makes these models highly computationally intensive.

Mathematically

1. The constraints of the underlying computing device force computer scientists to think computationally, not just mathematically.

Factor

1. Thus, RSA security depends on the assumption that it is computationally difficult to factor a number that is the product of two large prime numbers. (Web site)

Factoring

1. Today, factoring 512-bit numbers is extremely difficult, while factoring 1,024-bit numbers is computationally impossible.

Plaintext

1. If the hash function is well designed, it is computationally infeasible to reverse it to find the plaintext directly.

Attacker

1. It would be computationally infeasible for an attacker to devise a substitute message that would produce an identical message digest.

Keys

1. The keys in a key pair are mathematically related, but it is computationally infeasible to deduce one key from the other. (Web site)

Decryption Key

1. Therefore, in public key cryptosystems, the decryption key must be computationally infeasible to deduce from the encryption key. (Web site)

Rsa

1. The security of RSA lies in the fact that it is computationally too difficult to factor n back into p and q. (Web site)
2. Elliptic curve cryptosystems also are more computationally efficient than the first generation public key systems, RSA and Diffie-Hellman. (Web site)
3. Also it is generally not advisable to use RSA for encrypting large amounts of data as the it is computationally intensive. (Web site)

Private Key

1. It is computationally infeasible to deduce the private key from the public key. (Web site)

Computational

1. It serves as a focus for research in computational, and computationally oriented, linguistics. (Web site)

Computation

1. Computation of MrgL scores, however, is computationally intensive. (Web site)

Computationally

1. Though mathematically related, it is generally viewed as computationally infeasible to derive the private key from the public key.
2. The two keys have the property that, given the public key, it is computationally infeasible to derive the private key. (Web site)
3. The public and private keys differ in such a way that it is computationally infeasible to determine the private key from the public key. (Web site)

Categories

1. Information Technology > Computers > Software > Computation
2. Private Key
3. Public Key
4. Hash Function
5. Rsa
6. Books about "Computationally" in Amazon.com
   

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