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# Applies the analysis algorithms to produce light curves for each star ;
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# and Applies
# and analysis
# As exploratory data analysis, an ANOVA is an organization of an additive data decomposition, and its sums of squares indicate the variance of each component of the decomposition ( or, equivalently, each set of terms of a linear model ).
# the science of phylogenetics and its methods ( phylogenetic analysis = cladistic analysis ), although sometimes the term is restricted to maximum parsimony ;
# Trust all the software to abide by a security policy and the software is validated as trustworthy ( by tedious branch and path analysis for example ).
# no universal sequence of stages is apparent – analysis, design and implementation are contemporary and inextricably linked
# Rationalism holds that truth should be determined by reason and factual analysis, rather than faith, dogma, tradition or religious teaching.
# Fundamental analysis maintains that markets may misprice a security in the short run but that the " correct " price will eventually be reached.
# First, analysis to determine structural properties of a network, such as the distribution of vertex degrees and the diameter of the graph.
# Second, analysis to find a measurable quantity within the network, for example, for a transportation network, the level of vehicular flow within any portion of it.
# Multivariate analysis of variance ( MANOVA ) extends the analysis of variance to cover cases where there is more than one dependent variable to be analyzed simultaneously: see also MANCOVA.
# Multivariate regression analysis attempts to determine a formula that can describe how elements in a vector of variables respond simultaneously to changes in others.
# Principal components analysis ( PCA ) creates a new set of orthogonal variables that contain the same information as the original set.
# and algorithms
# Multidimensional scaling comprises various algorithms to determine a set of synthetic variables that best represent the pairwise distances between records.
# Active learning: Instead of assuming that all of the training examples are given at the start, active learning algorithms interactively collect new examples, typically by making queries to a human user.
# All mathematical aspects of computer science, including complexity theory, logic of programming languages, analysis of algorithms, cryptography, computer vision, pattern recognition, information processing and modelling of intelligence.
There are probabilistic algorithms that return good approximations to some # P-complete problems with high probability.
# Metaphone algorithms do not produce phonetic representations of the input words and names ; rather, the output is an intentionally approximate phonetic representation, according to this standard:
# transformation rules, algorithms, which may be carried out by associated human roles or machines, or a combination
* ALGLIB is a collection of algorithms, in C # / C ++ / Delphi / Visual Basic / etc., for numerical integration ( includes Bulirsch-Stoer and Runge-Kutta integrators ).
# Development of computer algorithms and software ( applied AI science ) that make this theoretical knowledge available to the user.
Bottom left and right: 2D recoveries of the manifold respectively using the Nonlinear dimensionality reduction # Locally-linear_embedding | LLE and Nonlinear dimensionality reduction # Hessian_LLE | Hessian LLE algorithms as implemented by the Modular Data Processing toolkit.
# Symbolic algorithms avoid ever building the graph for the FSM ; instead, they represent the graph implicitly using a formula in quantified propositional logic.
# Bounded model checking algorithms unroll the FSM for a fixed number of steps and check whether a property violation can occur in or fewer steps.
# Inertial ( cameraless ) systems based on MEMS inertial sensors, biomechanical models, and sensor fusion algorithms.
# Evaluate the matching results and sort them according to relevance, using algorithms such as PageRank.
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