Application Areas

Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 A learning framework for nearest neighbor search NeurIPS 2007 Anytime Induction of Cost-sensitive Trees NeurIPS 2007 Augmented Functional Time Series Representation and Forecasting with Gaussian Processes NeurIPS 2007 Automatic Generation of Social Tags for Music Recommendation NeurIPS 2007 Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains RSS 2007 Compressed Regression NeurIPS 2007 Context and Feature Sensitive Re-sampling from Discrete Surface Measurements RSS 2007 Covariate Shift Adaptation by Importance Weighted Cross Validation JMLR 2007 Dense Mapping for Range Sensors: Efficient Algorithms and Sparse Representations RSS 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007 Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NeurIPS 2007 Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition NeurIPS 2007 Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing NeurIPS 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Multi-class Protein Classification Using Adaptive Codes JMLR 2007 Multiple-Instance Active Learning NeurIPS 2007 Multiple-Instance Pruning For Learning Efficient Cascade Detectors NeurIPS 2007 Object Recognition by Scene Alignment NeurIPS 2007 Privacy-Preserving Belief Propagation and Sampling NeurIPS 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Ultrafast Monte Carlo for Statistical Summations NeurIPS 2007