Caruana, R., Pratt, L., and Thrun, S. (1997). Multitask learning. Machine Learning, 28:41. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents
Exploiting Task Relatedness for Multiple Task Learning - Ben-David, Schuller (2003) (1 citation) (Correct)
....these observations to machine learning what kind of advantage is there in setting a learner to work on several tasks sequentially or simultaneously Intuitively, there should certainly be some advantage, especially if the tasks are closely related in some way. And, indeed, much experimental work [Bax95, IE96, Thr96, Hes98, Car97] has validated this intuition. However, thus far, there has been relatively little progress on theoretical justi cation for these results. Relatedness of tasks is key to the multitask learning (MTL) approach. Obviously, one cannot expect that information gathered through the learning of a set of ....
Rich Caruana. Multitask Learning. Machine Learning, 28(1):41-75, 1997.
MEG Source Localization using an MLP with a Distributed.. - Jun, Pearlmutter, Nolte (Correct)
....field centers x i were evenly distributed with a spacing of 3 cm, and we set # = 1.8 cm. These parameters were determined empirically. With these, M = 193 receptive fields served to cover the training region. The output units had linear activation functions , while to accelermultitask training [6], we found no decrease in localization error. Typically an accurate estimate of the location is much more important than of the moment direction or strength. We also found that networks trained without the moment were more robust. This can easily occur in practice, for instance when the head ....
Richard Caruana. Multitask learning. Machine Learning, 28(1): 41--75, July 1997.
A Bayesian Approach to Similarity with Applications to OCR and.. - Breuel (2003) (Correct)
.... Similarity has been studied extensively in areas such as pattern recognition and adaptive nearest neighbors [10, 6, 1] character recognition, text based information retrieval [4, 7] and case based reasoning [5] Closely related to models of similarity is the problem of multitask learning [3], where we attempt to use information learned from one task to improve performance on a related task. In this talk, I explore the relationship between Bayes optimal classification, similarity measures, and multitask learning. The key for making the connection is the conditional distribution P ....
Rich Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
Hierarchical Multi-Classification - Blockeel, Bruynooghe, Dzeroski.. (2002) (1 citation) (Correct)
....is typically smaller, and dependencies between di erent classes w.r.t. membership can be taken into account and may even be explicitated. Advantages of learning a single model for multiple related prediction tasks have been reported several times in the literature (see e.g. 5] for decision trees, [7, 1] for neural networks, 24] for text classi cation) While our setting is one of assigning a set of classes to an instance, we look in more detail at the case where the classes are ordered in a hierarchy. This hierarchy concisely conveys relevant information about the similarity and di erences ....
R. Caruana. Multitask learning. Machine Learning, 28:41-75, 1997.
Learning the Structure of Related Tasks - Alexandru Niculescu-Mizil Cornell Self-citation (Caruana) (Correct)
No context found.
Rich Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
The Maximum-Margin Approach to Learning Text Classifiers -.. - Joachims (2000) (17 citations) (Correct)
No context found.
Caruana, R., Pratt, L., and Thrun, S. (1997). Multitask learning. Machine Learning, 28:41.
Active Learning with Multiple Views - Muslea (2002) (4 citations) (Correct)
No context found.
Caruana, Rich. 1997. Multitask learning. Machine Learning, 28(1):41--75.
Bounds for Linear Multi-Task Learning - Maurer (2006) (Correct)
No context found.
R. Caruana. Multitask Learning, in Learning to Learn, S.Thrun, L.Pratt Eds. Springer 1998.
Journal of Machine Learning Research 7 (2006) 1315--1338.. - Yi Zhang Yi-Zhang- (Correct)
No context found.
R. Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
Extensions of the Informative Vector Machine - Lawrence, Platt, Jordan (Correct)
No context found.
R. Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
Fractal Dimension for Data Mining - Krishna Kumaraswamy Skkumar (Correct)
No context found.
R. Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
Hierarchical Multi-classification with Predictive.. - Struyf, Dzeroski.. (2005) (Correct)
No context found.
R. Caruana. Multitask learning. Machine Learning, 28:41--75, 1997.
Automatic Bias Learning: An Inquiry into the Inductive Basis of.. - Bensusan (1999) (1 citation) (Correct)
No context found.
Caruana, R., Pratt, L., & Thrun, S. #1997#. Multitask learning. Machine Learning, 28, 41#76.
Feature Construction for Game Playing - Utgoff (Correct)
No context found.
Caruana, R. (1997). Multitask learning. Machine Learning, 28, 41-75.
Many-Layered Learning - Utgoff, Stracuzzi (2002) (1 citation) (Correct)
No context found.
Caruana, R. (1997). Multitask learning. Machine Learning, 28, 41-75.
MEG Source Localization Using an MLP with a Distributed.. - Jun, Pearlmutter, Nolte (2003) (Correct)
No context found.
R. Caruana, "Multitask learning," Machine Learning, vol. 28, no. 1, pp. 41--75, 1997.
Memory-guided Exploration in Reinforcement Learning - Carroll, Peterson, Owens (Correct)
No context found.
Rich Caruana. Multitask learning. Machine Learning, 28:41--75, 1997.
Multitask Learning Using Partial Least Squares Method - Wen-Cong Lu Nian-Yi (Correct)
No context found.
Rich Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
Sharing Features: Efficient Boosting Procedures for.. - Antonio Torralba Kevin (2004) (4 citations) (Correct)
No context found.
Rich Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
Fixed vs. Dynamic Sub-transfer in Reinforcement Learning - James Carroll Todd (Correct)
No context found.
Rich Caruana, "Multitask learning," in Learning to Learn, Lorien Pratt Sebastian Thrun, Ed., chapter 5, pp. 95--1133. Kluwer Academic Publsishers, Norwell Massachusetts, 1998.
Memory-guided Exploration in Reinforcement Learning - James Carroll Todd (Correct)
No context found.
Rich Caruana. Multitask learning. Machine Learning, 28:41--75, 1997.
Sharing Visual Features for Multiclass And Multiview.. - Torralba, Murphy.. (2004) (1 citation) (Correct)
No context found.
Rich Caruana. Multitask learning. Machine Learning, 28(1):41--75, 1997.
The Musical Expression Project: A Challenge for Machine Learning.. - Widmer (2001) (Correct)
No context found.
Caruana, R. (1997). Multitask Learning. Machine Learning 28(1), 41-75.
Structural Extension to Logistic Regression: - Discriminative Parameter Learning (Correct)
No context found.
R. Caruana, L. Pratt, and S. Thrun. Multitask learning. Machine Learning, 28:41, 1997.
Recurrent Neural Networks for Time Series Classification - Hüsken, Stagge (2003) (Correct)
No context found.
R. Caruana. Multitask learning. Machine Learning, 28:41--75, 1997.
First 50 documents
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC