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The 18th International Conference
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The following papers have been accepted for ALT 2007.
There is no particular order in the list.
Please keep in mind that we need your final version until
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Please prepare your final version in accordance with the
Instructions for authors.
| Cluster Identification in Nearest-Neighbor Graphs | Markus Maier, Matthias Hein, Ulrike von Luxburg
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| Prescribed Learning of R.E. Classes | Sanjay Jain, Frank Stephan, Nan Ye
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| Following the Perturbed Leader to Gamble at Multi-Armed Bandits | Jussi Kujala, Tapio Elomaa
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| Separating Models of Learning with Faulty Teachers | Vitaly Feldman, Shrenik Shah, Neal Wadhwa
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| On Calibration Error of Randomized Forecasting Algorithms | V.V. V'yugin
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| One-shot Learners Using Negative Counterexamples and Nearest Positive Examples | Sanjay Jain, Efim Kinber
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| Learning Efficiency of Very Simple Grammars from Positive Data | Ryo Yoshinaka
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| Online Regression Competitive with Changing Predictors | Steven Busuttil, Yuri Kalnishkan
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| Polynomial Summaries of Positive Semidefinite Kernels | Kilho Shin, Tetsuji Kuboyama
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| Parallelism Increases Iterative Learning Power | John Case, Samuel E. Moelius III
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| Parameterized Learnability of k-Juntas and related Problems | V. Arvind, Johannes Köbler, Wolfgang Lindner
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| Polynomial Time Algorithms for Learning k-Reversible Languages and Pattern Languages with Correction Queries | Cristina Tirnauca, Timo Knuutila
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| Feasible Iteration of Feasible Learning Functionals | John Case, Timo Kötzing, Todd Paddock
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| Multiple Pass Streaming Algorithms for Learning Mixtures of Distributions in Rd | Kevin Chang
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| Tuning Bandit Algorithms in Stochastic Environments | Jean-Yves Audibert, Rémi Munos, Csaba Szepesvári
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| Continuity of Performance Metrics for Thin Feature Maps | Adam Kowalczyk
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| Learning Rational Stochastic Tree Languages | François Denis, Amaury Habrard
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| Learning in Friedberg Numberings | Sanjay Jain, Frank Stephan
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| Exact Learning of Finite Unions of Graph Patterns from Queries | Rika Okada, Satoshi Matsumoto, Tomoyuki Uchida, Yusuke Suzuki, Takayoshi Shoudai
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| Vapnik-Chervonenkis Dimension of Parallel Arithmetic Computations | César Luis Alonso, José Luis Montaña
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| Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability | Takafumi Kanamori
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| Pseudometrics for State Aggregation in Average Reward Markov Decision Processes | Ronald Ortner
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| Learning Kernel Perceptrons on Noisy Data using Random Projections | Guillaume Stempfel, Liva Ralaivola
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| Learning and Verifying Graphs using Queries with a Focus on Edge Counting | Lev Reyzin, Nikhil Srivastava
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| Measuring Task Similarity in Transfer Learning using Kolmogorov Complexity | M. M. Hassan Mahmud |
