Multitask Learning

[1]  Gregory F. Cooper,et al.  A Bayesian method for the induction of probabilistic networks from data , 1992, Machine Learning.

[2]  R. Schapire.  The Strength of Weak Learnability , 1990, Machine Learning.

[3]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[4]  Ronald,et al.  Learning representations by backpropagating errors , 2004 .

[5]  Joel D. Martin,et al.  Acquiring and Combining Overlapping Concepts , 2004, Machine Learning.

[6]  Thomas G. Dietterich,et al.  A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping , 2004, Machine Learning.

[7]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[8]  Nicole A. Lazar,et al.  Statistical Analysis With Missing Data , 2003, Technometrics.

[9]  Tom Burr,et al.  Causation, Prediction, and Search , 2003, Technometrics.

[10]  Alexander Filatov,et al.  Handwritten ZIP code recognition , 1997, Proceedings of the Fourth International Conference on Document Analysis and Recognition.

[11]  Lisbeth Hockey.  Learning from time. , 1997 .

[12]  Michael I. Jordan,et al.  Mixture models for learning from incomplete data , 1997, Annual Conference Computational Learning Theory.

[13]  Constantin F. Aliferis,et al.  An evaluation of machine-learning methods for predicting pneumonia mortality , 1997, Artif. Intell. Medicine.

[14]  J. Friedman,et al.  Predicting Multivariate Responses in Multiple Linear Regression , 1997 .

[15]  Jonathan Baxter,et al.  A Bayesian/information theoretic model of bias learning , 2019, COLT '96.

[16]  Paul W. Munro,et al.  Competition Among Networks Improves Committee Performance , 1996, NIPS.

[17]  Joseph Sill,et al.  Monotonicity Hints , 1996, NIPS.

[18]  Yoshua Bengio,et al.  Multi-Task Learning for Stock Selection , 1996, NIPS.

[19]  Rich Caruana,et al.  Promoting Poor Features to Supervisors: Some Inputs Work Better as Outputs , 1996, NIPS.

[20]  Daphne Koller,et al.  Toward Optimal Feature Selection , 1996, ICML.

[21]  Huan Liu,et al.  A Probabilistic Approach to Feature Selection - A Filter Solution , 1996, ICML.

[22]  Sebastian Thrun,et al.  Explanation-based neural network learning , 1996 .

[23]  Shumeet Baluja,et al.  Expectation-based selective attention , 1996 .

[24]  Sebastian Thrun,et al.  Discovering Structure in Multiple Learning Tasks: The TC Algorithm , 1996, ICML.

[25]  Yaser S. Abu-Mostafa,et al.  Hints , 2018, Neural Computation.

[26]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[27]  Sebastian Thrun,et al.  Is Learning The n-th Thing Any Easier Than Learning The First? , 1995, NIPS.

[28]  Stephen M. Omohundro.  Family Discovery , 1995, NIPS.

[29]  Tom M. Mitchell,et al.  Using the Future to Sort Out the Present: Rankprop and Multitask Learning for Medical Risk Evaluation , 1995, NIPS.

[30]  Sebastian Thrun,et al.  Lifelong Learning: A Case Study. , 1995 .

[31]  Shumeet Baluja,et al.  Using the Representation in a Neural Network's Hidden Layer for Task-Specific Focus of Attention , 1995, IJCAI.

[32]  Anthony Stentz,et al.  Sensor fusion for autonomous outdoor navigation using neural networks , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[33]  Jonathan Baxter,et al.  Learning internal representations , 1995, COLT '95.

[34]  Sebastian Thrun,et al.  Learning One More Thing , 1994, IJCAI.

[35]  Thomas G. Dietterich,et al.  Solving Multiclass Learning Problems via Error-Correcting Output Codes , 1994, J. Artif. Intell. Res..

[36]  Sebastian Thrun,et al.  Explanation-based neural network learning a lifelong learning approach , 1995 .

[37]  Jude W. Shavlik,et al.  Using Sampling and Queries to Extract Rules from Trained Neural Networks , 1994, ICML.

[38]  Tom M. Mitchell,et al.  Experience with a learning personal assistant , 1994, CACM.

[39]  Robert A. Jacobs,et al.  Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.

[40]  Alberto Maria Segre,et al.  Programs for Machine Learning , 1994 .

[41]  Raúl E. Valdés-Pérez,et al.  A Powerful Heuristic for the Discovery of Complex Patterned Behaviour , 1994, ICML.

[42]  Rich Caruana,et al.  Learning Many Related Tasks at the Same Time with Backpropagation , 1994, NIPS.

[43]  Volker Tresp,et al.  Training Neural Networks with Deficient Data , 1993, NIPS.

[44]  Michael I. Jordan,et al.  Supervised learning from incomplete data via an EM approach , 1993, NIPS.

[45]  Dean A. Pomerleau,et al.  Neural Network Perception for Mobile Robot Guidance , 1993 .

[46]  Rich Caruana,et al.  Multitask Learning: A Knowledge-Based Source of Inductive Bias , 1993, ICML.

[47]  Yaser S. Abu-Mostafa,et al.  Hints and the VC Dimension , 1993, Neural Computation.

[48]  M. Fine,et al.  Validation of a pneumonia prognostic index using the MedisGroups Comparative Hospital Database. , 1993, The American journal of medicine.

[49]  Lorien Y. Pratt,et al.  Non-literal Transfer Among Neural Network Learners , 1993 .

[50]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[51]  Tom M. Mitchell,et al.  A Personal Learning Apprentice , 1992, AAAI.

[52]  Geoffrey E. Hinton,et al.  Self-organizing neural network that discovers surfaces in random-dot stereograms , 1992, Nature.

[53]  Petri Koistinen,et al.  Using additive noise in back-propagation training , 1992, IEEE Trans. Neural Networks.

[54]  Yann LeCun,et al.  Tangent Prop - A Formalism for Specifying Selected Invariances in an Adaptive Network , 1991, NIPS.

[55]  Steven C. Suddarth,et al.  Symbolic-Neural Systems and the Use of Hints for Developing Complex Systems , 1991, Int. J. Man Mach. Stud..

[56]  Jack Mostow,et al.  Direct Transfer of Learned Information Among Neural Networks , 1991, AAAI.

[57]  David E. Rumelhart,et al.  Generalization by Weight-Elimination with Application to Forecasting , 1990, NIPS.

[58]  Yaser S. Abu-Mostafa,et al.  Learning from hints in neural networks , 1990, J. Complex..

[59]  Thomas G. Dietterich,et al.  A Comparative Study of ID3 and Backpropagation for English Text-to-Speech Mapping , 1990, ML.

[60]  S. C. Suddarth,et al.  Rule-Injection Hints as a Means of Improving Network Performance and Learning Time , 1990, EURASIP Workshop.

[61]  Lawrence D. Jackel,et al.  Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.

[62]  Kiyohiro Shikano,et al.  Modularity and scaling in large phonemic neural networks , 1989, IEEE Trans. Acoust. Speech Signal Process..

[63]  Geoffrey E. Hinton.  Learning distributed representations of concepts. , 1989 .

[64]  David Haussler,et al.  What Size Net Gives Valid Generalization? , 1989, Neural Computation.

[65]  Chris Chatfield,et al.  19. Statistical Analysis with Missing Data , 1988 .

[66]  Terrence J. Sejnowski,et al.  NETtalk: a parallel network that learns to read aloud , 1988 .

[67]  Paul E. Utgoff,et al.  Learning a Preference Predicate , 1987 .

[68]  Douglas H. Fisher,et al.  Conceptual Clustering, Learning from Examples, and Inference , 1987 .

[69]  Geoffrey E. Hinton,et al.  Learning representations by back-propagating errors , 1986, Nature.

[70]  Geoffrey E. Hinton,et al.  Learning representations by back-propagation errors, nature , 1986 .

[71]  Joel D. Martin.  Goal-directed clustering , 2022 .