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Combining techniques for software quality classification
Combining Subjective Probabilities and Data in Training Markov Logic Networks Tivadar P´apai
Combining Stochastic and Greedy Search in Hybrid Estimation Lars Blackmore Stanislav Funiak
Combining Spatial and Temporal Logics: Expressiveness vs. Complexity David Gabelaia Roman Kontchakov
Combining Self-Motivation with Logical Planning And Inference in a Reward-Seeking Agent
Combining Retrieval, Statistics, and Inference to Answer Elementary Science Questions
Combining Recursive Partitioning and Uncertain Reasoning for Data
Combining Probabilistic Planning and Logic Programming on Mobile Robots
Combining Numeric and Symbolic Reasoning in SNePS Stuart C. Shapiro
Combining Non-Expert and Expert Crowd Work to Ting-Hao K. Huang
Combining Neural Networks and Context-Driven Search for Online,
Combining Naive Bayes and Decision Tables Mark Hall , and Eibe Frank
Combining Multiple Weak Clusterings
Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence Daniel Kudenko
Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition
Combining Motion Planning and Optimization for Flexible Robot Manipulation
Combining Mizar and TPTP Semantic Presentation and Verification
Combining Methods for Word Sense Disambiguation of WordNet Glosses Adrian Novischi
Combining Logical and Probabilistic Reasoning Michael Gelfond
Combining Linguistic and Machine Learning Techniques for Email
Combining labeled and unlabeled data for text classification with a
Combining Knowledge- and Corpus-based Word-Sense-Disambiguation Methods Andres Montoyo Armando Su´arez
Combining Knowledge and Search to Solve Single-suit Bridge Ian Frank David Basin
Combining Knowledge and Corpus-B to-Word Similarity Measures for Word-
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