Pages that link to "Item:Q5535529"
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The following pages link to Nearest neighbor pattern classification (Q5535529):
Displaying 50 items.
- Weighted twin support vector machines with local information and its application (Q1942705) (← links)
- Metrics based on average distance between sets (Q1943080) (← links)
- Convergence of functional \(k\)-nearest neighbor regression estimate with functional responses (Q1952171) (← links)
- Bayesian instance selection for the nearest neighbor rule (Q1959627) (← links)
- Nonparametric fuzzy regression -- \(k\)-NN and kernel smoothing techniques. (Q1963111) (← links)
- Guarantees on nearest-neighbor condensation heuristics (Q1984597) (← links)
- A randomized exponential canonical correlation analysis method for data analysis and dimensionality reduction (Q1995941) (← links)
- Mixtures of Dirichlet-multinomial distributions for supervised and unsupervised classification of short text data (Q2022483) (← links)
- Deep graph similarity learning: a survey (Q2036720) (← links)
- Interpolation of sparse high-dimensional data (Q2048831) (← links)
- Universal Bayes consistency in metric spaces (Q2054482) (← links)
- Evidential instance selection for \(K\)-nearest neighbor classification of big data (Q2060769) (← links)
- Probabilistic analysis of vantage point trees (Q2068978) (← links)
- Random sampling accelerator for attribute reduction (Q2069052) (← links)
- Ordinal regression with explainable distance metric learning based on ordered sequences (Q2071504) (← links)
- Adaptive transfer learning (Q2073726) (← links)
- Interpretable machine learning: fundamental principles and 10 grand challenges (Q2074414) (← links)
- An algorithm for computing phase space structures in chemical reaction dynamics using Voronoi tessellation (Q2077806) (← links)
- Uncertainty quantification of a computer model for binary black hole formation (Q2078270) (← links)
- Nearest neighbor forecasting using sparse data representation (Q2080638) (← links)
- Towards convergence rate analysis of random forests for classification (Q2093392) (← links)
- Fuzzy similarity and entropy (FSAE) feature selection revisited by using intra-class entropy and a normalized scaling factor (Q2100516) (← links)
- Quantum \(K\)-nearest neighbor classification algorithm based on Hamming distance (Q2102204) (← links)
- Prescriptive selection of machine learning hyperparameters with applications in power markets: retailer's optimal trading (Q2106752) (← links)
- Intelligent forecasting with machine learning trading systems in chaotic intraday Bitcoin market (Q2120400) (← links)
- How to measure uncertainty in uncertainty sampling for active learning (Q2127220) (← links)
- Machine learning approach for reducing uncertainty in AFM nanomechanical measurements through selection of appropriate contact model (Q2134375) (← links)
- Correlation between the Hurst exponent and the maximal Lyapunov exponent: examining some low-dimensional conservative maps (Q2150040) (← links)
- Perturbation-based classifier (Q2156615) (← links)
- Reliable data transmission in wireless sensor networks with data decomposition and ensemble recovery (Q2160794) (← links)
- Polya tree-based nearest neighborhood regression (Q2172106) (← links)
- Optimal functional supervised classification with separation condition (Q2174981) (← links)
- Optimal arrangements of hyperplanes for SVM-based multiclass classification (Q2183661) (← links)
- Optimizing predictive precision in imbalanced datasets for actionable revenue change prediction (Q2184072) (← links)
- On general matrix exponential discriminant analysis methods for high dimensionality reduction (Q2190794) (← links)
- Predicting enzyme family classes by hybridizing gene product composition and pseudo-amino acid composition (Q2193120) (← links)
- Local nearest neighbour classification with applications to semi-supervised learning (Q2196247) (← links)
- Fuzzy KNN for predicting membrane protein types from pseudo-amino acid composition (Q2202064) (← links)
- Granulation in rough set theory: a novel perspective (Q2206423) (← links)
- Fractional frequency hybrid model based on EEMD for financial time series forecasting (Q2208097) (← links)
- A model-free Bayesian classifier (Q2212071) (← links)
- A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures (Q2212992) (← links)
- Application of interval-valued aggregation to optimization problem of \(k\)-NN classifiers for missing values case (Q2215123) (← links)
- Sharp instruments for classifying compliers and generalizing causal effects (Q2215722) (← links)
- A review on distance based time series classification (Q2218332) (← links)
- A new class of metrics for learning on real-valued and structured data (Q2218351) (← links)
- Classification with label noise: a Markov chain sampling framework (Q2218376) (← links)
- Solving an integrated scheduling and routing problem with inventory, routing and penalty costs (Q2239995) (← links)
- KNN and adaptive comfort applied in decision making for HVAC systems (Q2241177) (← links)
- Correlation for tree-shaped datasets and its Bayesian estimation (Q2242179) (← links)
