IMPROVING PREFERENCE PREDICTION ACCURACY WITH FEATURE LEARNING
暂无分享,去创建一个
Yi Ren | Honglak Lee | Alex Burnap | Panos Y. Papalambros | Richard Gonzalez | Honglak Lee | P. Papalambros | Alex Burnap | Rich Gonzalez | Yi Ren
[1] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[2] John R. Hauser,et al. Fast Polyhedral Adaptive Conjoint Estimation , 2002 .
[3] T. Evgeniou,et al. Disjunctions of Conjunctions, Cognitive Simplicity, and Consideration Sets , 2010 .
[4] Geoffrey E. Hinton,et al. Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine , 2010, NIPS.
[5] Paul Smolensky,et al. Information processing in dynamical systems: foundations of harmony theory , 1986 .
[6] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[7] Tara N. Sainath,et al. Deep Belief Networks using discriminative features for phone recognition , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Yoshua Bengio,et al. Scaling learning algorithms towards AI , 2007 .
[9] Jason Weston,et al. A unified architecture for natural language processing: deep neural networks with multitask learning , 2008, ICML '08.
[10] Wei Chen,et al. An Approach to Decision-Based Design With Discrete Choice Analysis for Demand Modeling , 2003 .
[11] Wei Chen,et al. Predicting Consumer Choice Set Using Product Association Network and Data Analytics , 2013, DAC 2013.
[12] G. Kane. Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .
[13] Wei Chen,et al. Decision Making in Engineering Design , 2006 .
[14] Olivier Toubia,et al. Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires , 2008, IEEE Transactions on Knowledge and Data Engineering.
[15] Wei Chen,et al. INCORPORATING CUSTOMER PREFERENCES AND MARKET TRENDS IN VEHICLE PACKAGE DESIGN , 2007, DAC 2007.
[16] Allan D. Shocker,et al. Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions , 1991 .
[17] Honglak Lee,et al. Unsupervised feature learning for audio classification using convolutional deep belief networks , 2009, NIPS.
[18] Wei Chen,et al. Enhancing Discrete Choice Demand Modeling for Decision-Based Design , 2003 .
[19] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[20] Geoffrey E. Hinton,et al. Semantic hashing , 2009, Int. J. Approx. Reason..
[21] Eric T. Bradlow,et al. Automatic Construction of Conjoint Attributes and Levels from Online Customer Reviews , 2007 .
[22] Clifford Goodman,et al. American Society of Mechanical Engineers , 1988 .
[23] Geoffrey E. Hinton,et al. Restricted Boltzmann machines for collaborative filtering , 2007, ICML '07.
[24] Terrence J. Sejnowski,et al. Learning Overcomplete Representations , 2000, Neural Computation.
[25] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[26] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[27] John Rust,et al. A nested logit model of automobile holdings for one vehicle households , 1985 .
[28] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[29] Jeremy J. Michalek,et al. Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading , 2005 .
[30] D. McFadden,et al. MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .
[31] Geoffrey E. Hinton,et al. A Scalable Hierarchical Distributed Language Model , 2008, NIPS.
[32] Antonio Torralba,et al. Small codes and large image databases for recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Bernard Yannou,et al. Choice Modeling for Usage Context-Based Design , 2012 .
[34] Honglak Lee,et al. Sparse deep belief net model for visual area V2 , 2007, NIPS.
[35] Panos Y. Papalambros,et al. Perceptual Attributes in Product Design: Fuel Economy and Silhouette-Based Perceived Environmental Friendliness Tradeoffs in Automotive Vehicle Design , 2012 .
[36] M. Pontil,et al. A Convex Optimization Approach to Modeling Consumer Heterogeneity in Conjoint Estimation , 2007 .
[37] James L. McClelland,et al. Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations , 1986 .
[38] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[39] Zaïd Harchaoui,et al. A Machine Learning Approach to Conjoint Analysis , 2004, NIPS.
[40] Honglak Lee,et al. Unsupervised learning of hierarchical representations with convolutional deep belief networks , 2011, Commun. ACM.