This is a service to implement algorithms you requested as a program. We make not only executable programs but also modules, APIs and detailed documents of them if you want.

Below is a sample list of algorithms we can implement. We can implement other algorithms not listed below.

[1. Image Recognition]

Support Vector Machine (SVM) Kernel Methods Volume Intersection Method Hidden Markov Model (HMM) Abstract Hidden Markov mEmory Model (AHMEM) Hierarchical Hidden Markov Model (HHMM) Energy Minimizing Matching Method Ray Tracing Method Wiener Filter Homomorphic Filter Nearest Neighbor法 Threshold Selection Algorithm by Dynamic Programming Run Analysis Algorithm Subcycle Method Huckel Operator Edge Extraction

[2. Data Mining]

Support Vector Machine (SVM) Process Mining Heuristic Algorithm Genetic Algorithm Duplicate Task GA Algorithm alpha Algorithm alpha++ Algorithm Parikh Language-based Region Algorithm Region Algorithm Tsinghua-alpha Algorithm Fuzzy Algorithm DWS mining Algorithm Batch-learning SOM Adaptive Partial Space SOM Probabillistic SOM Hyperboloid SOM Beyesian Network Decision Tree (CART, ID3, C4.5) Jack Knife Method SPI Algorithm (Symbolic Probabillistic Inference) Likelihood-Weighted Sampling Method K2 Structure Learning Algorithm

[3. Statistic Analysis]

Markov Chain Monte Carlo Method (MCMC) Hierarchical Beyesian Model Discriminant Classification Bayesian Inference Kolmogorov-Smirnoff Test Spearman's Rank Correlation Coefficient Dirichlet Distribution Kernel Discriminant Analysis Kernel Canonical Correlation Analysis Robust Estimation Manifold Distance Dimension Reduction (ISOMAP) 1-Class mu-Support Vector Macgine Reproducing Kernel Theory Self-Organizing Map Geodesic SOM Self-Organizing Neural Grove (SONG) Bayesian Information Criterion Orthomax Rotation Oblimin Rotation Promax Method Harris-Kaiser Method Tucker Three-Factor Model Catefgorical Data Analysis Log-Linear Model Structural Equation Modeling (SEM) Covariance Structure Analysis Kolmogorov Complexity Graphical Modeling Gram-Charlier Expansion Gauss-Hermite Expansion Edgeworth Expansion Cornish-Fisher Expansion Multilevel Analysis Hierarchical Analysis

[4. Control Theory]	H-infinity Control Method Stable Control by Neural Networks

[5. Time Series Analysis]

Locally Stable AR model Partial Correlation Analysis Long-Memory Processes Analysis Kalman Filter Generalized Moment Method Non-Parametric Regression Cumulant Expansion SmartSifter ChangeFinder AccessTracer Hellinger Distance Probabillistic Complexity Natural Spline Smoothing Spline Nadaraya-Watson Estimator Local Polynomial Regression Projection Pursuit Regression Independent Component Analysis Symbolic Aggregation Approximation Random Projection Method Normalized Edit Distance

[6. Signal Processing]

Cohen's Class Distribution Wigner Distribution Choi-Williams Distribution Zhao-Atlas-Marks Distribution Born-Jordan Distribution Complex Energy Spectrum Reassigned Spectrogram Method Markov Suffix Tree Method Negentropy Minimizing Method Cumulant Tensor Eigenvalue Decomposition (JADE) Beta Divergence Minimizing Method Spatial-Mixture Separation utilizing Time Structures Cross Covariance Elimination Method Cross Decorrelation Method Dispersal Unstableness Maximizing Method SVR Spectrum Method Matrix Algebra Separation Method (MAS) Cumulant Harmonic Decomposition Method Orthogonal Partial Space Decomposition Method Periodic Transform method (PT) Uniform Q-Comb Fillter Fast Whitening Comb Filter Harmonic Inference Whitening Comb Filter Lattice IIR Adaptive Notch Filter Correlated Impluse Adaptive Filter (CIAF) Rotate Adaptive Filter (RAF) Cyclic Shift Adaptive Filter (CSSGAF) Canonical Self Regression Analysis (CARD) Global Amplitude Phase Modulation Recursive Discrete Fourier Transform Adaptive Fourier Analysis by Fast Filter Bank RI-Spline Wavelet Redundant Discrete Wavelet Transform Dual-Tree Complex Wavelet Transform Wavelet Transform by Assymetric Hilbert Transform Pair

[7. Speech Processing]	Discrete All-Pole Model Analysis (DAP) Auditory Psychological Model HMM Adaptation by Maximum A Posterior Probability Inference (MAP)

[8. Machine Learning]	Bootstrap Method Q-learning R-learning Expert System Bayesian Network Neural Network Fuzzy Control Genetic Algorithm Evolutionary Computation Group Intelligence

[9. Natural processing]	n-gram Back-off Smoothing Test Set Perplexity Grammer Analysis (CKY, Early, GLR) LFG Processing HPSG Processing Transpose-Index Method Vector Space Method Text Auto-Summarize MMR-MD Summarizing Discourse Analysis Mutual Belief Analysis Factoid Wuestion Answering Potential Meaning Analysis

[10. Numerical Analysis]	Block Lanczos Method Generalized Eigen Decomposition Moore-Penrose Generalized Inverse Matrix Gershgorin's Theorem Chebyshev Iteration Fretcher-Powell Method Markov Chain Monte Carlo Method (MCMC) SOR Method Hamiltonian Monte Carlo Method Simulated Anealing Merhod Simplex Method Toeplitz Matrix Division Levinson Algorithm Division Schur Algorithm Voronoi Division Method Delaunay Division Method

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