All Stories

  1. Residual connections improve click-through rate and conversion rate prediction performance
  2. A Cloud Monitor to Reduce Energy Consumption With Constrained Optimization of Server Loads
  3. Residual Connections Improve Prediction Performance
  4. The FFCP Model for Predicting Click-Through Rate
  5. Instance Weighting in Neural Networks for Click-Through Rate Prediction
  6. Power Loss Functions
  7. Efficiently Sampling in Neural Network Training for Click-Through Rate Prediction
  8. Neural Network Calibration for CTR Prediction
  9. Potential for Improvement of Sentence Translations
  10. Residual Fusion Models with Neural Networks for CTR Prediction
  11. Calibrating Neural Networks for CTR Prediction
  12. Machine Translation Performance Prediction System: Optimal Prediction for Optimal Translation
  13. Parallel feature weight decay algorithms for fast development of machine translation models
  14. Predicting the Performance of Parsing with Referential Translation Machines
  15. Referential translation machines for predicting semantic similarity
  16. Domain Adaptation for Machine Translation with Instance Selection
  17. QuEst for High Quality Machine Translation
  18. Optimizing Instance Selection for Statistical Machine Translation with Feature Decay Algorithms
  19. Predicting sentence translation quality using extrinsic and language independent features
  20. Consensus ontologies in socially interacting MultiAgent systems
  21. Consensus ontology generation in a socially interacting multiagent system
  22. Context-Based Sentence Alignment in Parallel Corpora
  23. Dynamic Translation Memory: Using Statistical Machine Translation to Improve Translation Memory Fuzzy Matches