ALT 2008 - PDF Preprint Papers

ALT 2008 Algorithmic Learning Theory

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ALT
2008
Springer

212views Machine Learning» more ALT 2008»

Computational Models of Neural Representations in the Human Brain

14 years 9 months ago

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Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...

Tom M. Mitchell

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Id	Views	Title	Status

1	212	Computational Models of Neural Representations in the Human Brain	claim
2	171	Active Learning in Multi-armed Bandits	claim
3	152	Active Learning of Group-Structured Environments	claim
4	148	Smooth Boosting for Margin-Based Ranking	claim
5	147	Nonparametric Independence Tests: Space Partitioning and Kernel Approaches	claim
6	141	Online Regret Bounds for Markov Decision Processes with Deterministic Transitions	claim
7	136	Clustering with Interactive Feedback	claim
8	136	Learning with Continuous Experts Using Drifting Games	claim
9	132	On-Line Probability, Complexity and Randomness	claim
10	120	Optimally Learning Social Networks with Activations and Suppressions	claim
11	118	Exploiting Cluster-Structure to Predict the Labeling of a Graph	claim
12	117	Sample Selection Bias Correction Theory	claim
13	117	Numberings Optimal for Learning	claim
14	114	A Uniform Lower Error Bound for Half-Space Learning	claim
15	112	Prequential Randomness	claim
16	112	Optimal Language Learning	claim
17	111	Visual Analytics: Combining Automated Discovery with Interactive Visualizations	claim
18	110	Entropy Regularized LPBoost	claim
19	110	Query Learning and Certificates in Lattices	claim
20	110	Growth Optimal Investment with Transaction Costs	claim
21	108	Learning with Temporary Memory	claim
22	107	Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces	claim
23	105	Dynamically Delayed Postdictive Completeness and Consistency in Learning	claim
24	105	Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor	claim
25	103	Learning and Generalization with the Information Bottleneck	claim
26	93	Generalization Bounds for Some Ordinal Regression Algorithms	claim
27	82	Dynamic Modeling in Inductive Inference	claim
28	81	Iterative Learning of Simple External Contextual Languages	claim

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