Interactive intent modeling
Author:
Samuel Kaski, Department of Information and Computer Science, Aalto University
Abstract:
I will discuss our recent work on interactive machine learning in two closely related setups: (i) interactive intent modeling for information discovery and (ii) knowledge elicitation on features for improving predictive modelling given limited high-dimensional data. Both setups require balancing between exploration and exploitation in the interactions, and interactive modelling of the user which can be formulated as experimental design or multiarmed bandit problems. I will also discuss extensions to multimodal interfaces, including mind reading, and to inferring more advanced cognitive models from data with Approximate Bayesian Computation.
More on http://www.kdd.org/kdd2017/
KDD2017 Conference is published on http://videolectures.net/
Видео Interactive intent modeling канала KDD2017 video
Samuel Kaski, Department of Information and Computer Science, Aalto University
Abstract:
I will discuss our recent work on interactive machine learning in two closely related setups: (i) interactive intent modeling for information discovery and (ii) knowledge elicitation on features for improving predictive modelling given limited high-dimensional data. Both setups require balancing between exploration and exploitation in the interactions, and interactive modelling of the user which can be formulated as experimental design or multiarmed bandit problems. I will also discuss extensions to multimodal interfaces, including mind reading, and to inferring more advanced cognitive models from data with Approximate Bayesian Computation.
More on http://www.kdd.org/kdd2017/
KDD2017 Conference is published on http://videolectures.net/
Видео Interactive intent modeling канала KDD2017 video
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Designing AI at Scale to Power Everyday Life
Estimation of Recent Ancestral Origins of Individuals on a Large Scale
struc2vec: Learning Node Representations from Structural Identity
Learning to Generate Rock Descriptions from Multivariate Well Logs with Hierarchical Attention
A Local Algorithm for StructurePreserving Graph Cut
EmbedJoin: Efficient Edit Similarity Joins via Embeddings
Multi-Aspect Streaming Tensor Completion
Planning Bike Lanes based on SharingBikes' Trajectories
Tripoles: A New Class of Relationships in Time Series Data
Industrial Machine Learning
Optimal Reserve Price for Online Ads Trading Based on Inventory Identification
Multi-Aspect Streaming Tensor Completion
Dispatch with Confidence: Integration of machine learning
Learning certifiably optimal rule lists for categorical data
Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking
HinDroid: An Intelligent Android Malware Detection System
Revisiting power-law distributions in spectra of real world networks
KDD Business Lunch
Traffic sensor health monitoring using spatiotemporal graphical modeling
A Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications
Detecting Network Effects: Randomizing Over Randomized Experiments