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Showing 151–180 of 204 reference entries

InformationProof security and implementation leakage

A proof in a black-box encryption or signature game typically exposes specified outputs and oracles, not secret-dependent timing, power, cache traces or fault responses.

Method
InformationPAC learning: realizable and agnostic guarantees

PAC learning bounds population risk with probability at least 1−delta from iid samples.

Mathematical statement
InformationA finite-class uniform-convergence bound

For a finite hypothesis class H, iid observations and losses in [0,1], Hoeffding plus a union bound gives probability at most 2|H|exp(−2n epsilon²) that any empirical risk differs from its population risk by more than epsilon.

Mathematical statement
InformationVC dimension and distribution-free learnability

VC dimension is the largest size of a point set on which a binary hypothesis class realizes every labeling.

Mathematical statement
InformationPosterior inference, priors and identifiability

Bayesian inference combines likelihood and prior into a posterior conditional on observed data.

Definition
InformationQubits, density states and measurement probabilities

A qubit pure state is a normalized vector in C² modulo global phase; a mixed state is a positive trace-one density operator.

Definition
InformationQuantum channels and complete positivity

A physical channel on a subsystem is modeled by a completely positive trace-preserving map.

Definition
InformationQuantum circuits, gates and resource accounting

A quantum circuit composes unitary gates, ancillas, channels and measurements from a specified gate set.

Definition
InformationGrover search and its black-box lower bound

For an unstructured search over N alternatives with a coherent marking oracle and one marked item, amplitude amplification uses O(sqrt(N)) oracle queries for bounded success probability.

Mathematical statement
InformationShor order finding and factoring assumptions

Shor's factoring algorithm reduces factoring to order finding and uses modular exponentiation, quantum phase/Fourier processing and classical continued fractions.

Method
InformationQuantum entropy and the Holevo bound

Von Neumann entropy is −tr rho log2 rho and equals Shannon entropy of the density operator's eigenvalues.

Mathematical statement
InformationRelational algebra and query meaning

A relation is a set of tuples over a schema.

Definition
InformationKeys and relational integrity constraints

A candidate key is a minimal attribute set uniquely identifying a tuple; a superkey need not be minimal.

Definition
InformationTransactions and serializable outcomes

A transaction groups operations with atomic commit or abort.

Method
InformationSnapshot isolation and serializability compared

PostgreSQL 18 repeatable read uses snapshot isolation: each transaction reads a stable snapshot, but concurrent writes to different rows can produce write skew and a nonserializable joint outcome.

Definition
InformationSmall-step semantics and observable execution

An operational semantics defines a transition relation between program configurations, including state when needed.

Definition
InformationProgress and preservation as type-safety obligations

For the declared simply typed language, progress says a closed well-typed term is a value or can take a step; preservation says evaluation retains its type.

Mathematical statement
InformationConcurrency, happens-before and race freedom

Sequential consistency presents operations in one order preserving each thread's program order.

Definition
InformationVerified compilation and its trusted boundary

CompCert's principal semantic-preservation theorem relates accepted C abstract syntax to generated assembly abstract syntax: generated behavior refines permitted source behavior under the theorem's hypotheses.

Method
InformationCompCert 3.18: a dated verification development

The official CompCert 3.18 release in August 2026 revises formal handling of alignment/free and adds Rocq 9.2 support.

Method
InformationPopulation risk and empirical learning objectives

For predictors h, population risk is expected loss under a declared data distribution; empirical risk averages loss over a sample.

Definition
InformationRegularization and optimization are separate controls

Regularized empirical minimization adds lambda times a complexity penalty to sample loss.

Method
InformationStochastic gradient and the assumptions behind convergence

Stochastic gradient updates parameters using a sampled gradient or subgradient.

Method
InformationPrincipal components and representation assumptions

PCA finds an orthogonal low-rank subspace minimizing squared reconstruction error for centered observations.

Method
InformationValidation, test independence and leakage

Training fits parameters, validation selects models/tuning, and a final held-out test estimates performance of the selected procedure on its sampling population.

Method
InformationBayesian networks, d-separation and inference

A Bayesian network uses a directed acyclic graph and local conditional distributions to factor a joint law.

Definition
InformationVariational inference and the evidence lower bound

Variational inference approximates a posterior by choosing q from a specified family to minimize KL(q||posterior).

Method
InformationMCMC and variational inference: evidence and tradeoffs

MCMC constructs a Markov chain with a desired stationary posterior and estimates integrals from correlated draws; convergence, mixing and effective sample size require checks.

Definition
InformationPrediction, causal intervention and identifiability

Observational conditioning p(Y|X=x) and intervention p(Y|do(X=x)) describe different operations.

Definition
InformationFault and timing assumptions in distributed systems

Crash faults stop a process; Byzantine faults permit arbitrary behavior, including inconsistent messages.

Definition