The following pages link to Machine Learning (Q65106):
Displaying 50 items.
- Relational information gain (Q413866) (← links)
- Constraint-based probabilistic modeling for statistical abduction (Q413868) (← links)
- Efficient mining for structurally diverse subgraph patterns in large molecular databases (Q413872) (← links)
- Policy search for motor primitives in robotics (Q413874) (← links)
- Model selection for primal SVM (Q413878) (← links)
- SpicyMKL: a fast algorithm for multiple kernel learning with thousands of kernels (Q413881) (← links)
- Dual coordinate descent methods for logistic regression and maximum entropy models (Q413884) (← links)
- A majorization-minimization approach to the sparse generalized eigenvalue problem (Q413888) (← links)
- Sparse conjugate directions pursuit with application to fixed-size kernel models (Q413891) (← links)
- Resampling approach for cluster model selection (Q413896) (← links)
- Non-homogeneous dynamic Bayesian networks for continuous data (Q415604) (← links)
- Estimating variable structure and dependence in multitask learning via gradients (Q415606) (← links)
- The optimal unbiased value estimator and its relation to LSTD, TD and MC (Q415609) (← links)
- Sparse canonical correlation analysis (Q415611) (← links)
- Iterative learning from texts and counterexamples using additional information (Q415613) (← links)
- Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models (Q415616) (← links)
- Model selection in reinforcement learning (Q415618) (← links)
- Construction and learnability of canonical Horn formulas (Q415621) (← links)
- Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions (Q415622) (← links)
- An asymptotically optimal policy for finite support models in the multiarmed bandit problem (Q415624) (← links)
- Learning by extrapolation from marginal to full-multivariate probability distributions: Decreasingly naive Bayesian classification (Q420911) (← links)
- An alternative view of variational Bayes and asymptotic approximations of free energy (Q420913) (← links)
- Linear classifiers are nearly optimal when hidden variables have diverse effects (Q420914) (← links)
- Robustness and generalization (Q420915) (← links)
- Efficiently identifying deterministic real-time automata from labeled data (Q420918) (← links)
- Local equivalences of distances between clusterings -- a geometric perspective (Q420920) (← links)
- Statistical analysis of kernel-based least-squares density-ratio estimation (Q420923) (← links)
- Similarity measures over refinement graphs (Q420926) (← links)
- Subsumption resolution: an efficient and effective technique for semi-naive Bayesian learning (Q420929) (← links)
- Online variance minimization (Q420931) (← links)
- Experiment databases (Q420934) (← links)
- PAMR: passive aggressive mean reversion strategy for portfolio selection (Q420935) (← links)
- Temporal-difference search in Computer Go (Q420936) (← links)
- Optimal control as a graphical model inference problem (Q420939) (← links)
- Multi-output learning via spectral filtering (Q439000) (← links)
- Learning sparse gradients for variable selection and dimension reduction (Q439003) (← links)
- Efficient cross-validation for kernelized least-squares regression with sparse basis expansions (Q439007) (← links)
- ILP turns 20. Biography and future challenges (Q439010) (← links)
- Gradient-based boosting for statistical relational learning: the relational dependency network case (Q439014) (← links)
- Bridging logic and kernel machines (Q439018) (← links)
- Applying the information bottleneck to statistical relational learning (Q439020) (← links)
- Inverse subsumption for complete explanatory induction (Q439023) (← links)
- Data and task parallelism in ILP using mapreduce (Q439026) (← links)
- Introduction to the special issue on learning from multi-label data (Q439028) (← links)
- On label dependence and loss minimization in multi-label classification (Q439031) (← links)
- Multilabel classification with meta-level features in a learning-to-rank framework (Q439034) (← links)
- Compressed labeling on distilled labelsets for multi-label learning (Q439035) (← links)
- Efficient max-margin multi-label classification with applications to zero-shot learning (Q439038) (← links)
- Statistical topic models for multi-label document classification (Q439042) (← links)
- Synergy of multi-label hierarchical ensembles, data fusion, and cost-sensitive methods for gene functional inference (Q439045) (← links)
