Mining Intelligence and Knowledge Exploration
Springer International Publishing (Verlag)
978-3-319-13816-9 (ISBN)
An Effective Term-ranking Function for Query Expansion Based on Information Foraging Assessment.- Using Multi-armed Bandit to Solve Cold-start Problems in Recommender Systems at Telco.- An Improved Collaborative Filtering Model Based on Rough Set.- Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback.- Convergence Problem in GMM related Robot Learning from Demonstration: Hybridization of Ensemble Kalman Filter and Non-linear Auto-regressive Neural Network for Financial Forecasting.- Forecast of Traffic Accidents Based on Components Extraction and a Neural Network with Levenberg-Marquardt.- Top-k Parametrized Boost.- Unsupervised Feature Learning for Human Activity Recognition Using Smartphone Sensors.- Influence of Weak Labels for Emotion Recognition of Tweets.- Focused Information Retrieval & English Language Instruction: A New Text Complexity Algorithm for Automatic Text Classification.
| Erscheint lt. Verlag | 20.11.2014 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XIV, 426 p. 117 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 661 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Case-Based Reasoning • Computational Intelligence • Crowdsourcing • Data Mining • Information Retrieval • Knowledge Discovery • Learning Algorithms • Natural Language Processing • Neural networks • pattern recognition • Qualitative Reasoning • Recommender Systems • Rough Sets • semantic search • XML |
| ISBN-10 | 3-319-13816-2 / 3319138162 |
| ISBN-13 | 978-3-319-13816-9 / 9783319138169 |
| Zustand | Neuware |
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