Dataset Shift in Machine Learning

• Paperback | Engels | Neural Information Processing
• An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs a... Lees meer

An Introduction to Lifted Probabilistic Inference

Guy Van den Broeck, Kristin Kersting

• Paperback | Engels | Neural Information Processing
• Recent advances in the area of lifted inference, which exploits the structure inherent in relational probabilistic models. Statistical relational AI (... Lees meer

Perturbations, Optimization, and Statistics

• Paperback | Engels | Neural Information Processing
• A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees. In... Lees meer

Optimization for Machine Learning

• Paperback | Engels | Neural Information Processing
• An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The inte... Lees meer

Log-Linear Models, Extensions, and Applications

• Paperback | Engels | Neural Information Processing
• Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications. Log-l... Lees meer

Probabilistic Models of the Brain

• Paperback | Engels | Neural Information Processing
• A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain imaging studies have... Lees meer

Toward Brain-Computer Interfacing

Dornhedge

• Hardcover | Engels | Neural Information Processing
• Interest in developing an effective communication interface connecting the human brain and a computer has grown rapidly over the past decade. The brai... Lees meer