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ALT
2006
Springer
14 years 8 months ago
On Exact Learning from Random Walk
Nader H. Bshouty, Iddo Bentov
ALT
2006
Springer
14 years 8 months ago
The Complexity of Learning SUBSEQ (A)
Higman showed that if A is any language then SUBSEQ(A) is regular, where SUBSEQ(A) is the language of all subsequences of strings in A. We consider the following inductive inferenc...
Stephen A. Fenner, William I. Gasarch
ALT
2006
Springer
14 years 8 months ago
Risk-Sensitive Online Learning
We consider the problem of online learning in settings in which we want to compete not simply with the rewards of the best expert or stock, but with the best trade-off between rew...
Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman
ALT
2006
Springer
14 years 8 months ago
Teaching Memoryless Randomized Learners Without Feedback
The present paper mainly studies the expected teaching time of memoryless randomized learners without feedback. First, a characterization of optimal randomized learners is provided...
Frank J. Balbach, Thomas Zeugmann
ALT
2006
Springer
14 years 8 months ago
How Many Query Superpositions Are Needed to Learn?
Abstract. This paper introduces a framework for quantum exact learning via queries, the so-called quantum protocol. It is shown that usual protocols in the classical learning setti...
Jorge Castro
ALT
2007
Springer
14 years 8 months ago
On Calibration Error of Randomized Forecasting Algorithms
It has been recently shown that calibration with an error less than ∆ > 0 is almost surely guaranteed with a randomized forecasting algorithm, where forecasts are obtained by...
Vladimir V. V'yugin
ALT
2007
Springer
14 years 8 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
ALT
2007
Springer
14 years 8 months ago
Learning and Verifying Graphs Using Queries with a Focus on Edge Counting
We consider the problem of learning and verifying hidden graphs and their properties given query access to the graphs. We analyze various queries (edge detection, edge counting, sh...
Lev Reyzin, Nikhil Srivastava
ALT
2007
Springer
14 years 8 months ago
Learning in Friedberg Numberings
In this paper we consider learnability in some special numberings, such as Friedberg numberings, which contain all the recursively enumerable languages, but have simpler grammar e...
Sanjay Jain, Frank Stephan