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JMLR
2006
78views more  JMLR 2006»
14 years 9 months ago
Inductive Synthesis of Functional Programs: An Explanation Based Generalization Approach
We describe an approach to the inductive synthesis of recursive equations from input/outputexamples which is based on the classical two-step approach to induction of functional Li...
Emanuel Kitzelmann, Ute Schmid
JMLR
2006
112views more  JMLR 2006»
14 years 9 months ago
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting
We develop kernels for measuring the similarity between relational instances using background knowledge expressed in first-order logic. The method allows us to bridge the gap betw...
Andrea Passerini, Paolo Frasconi, Luc De Raedt
JMLR
2006
116views more  JMLR 2006»
14 years 9 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
JMLR
2006
123views more  JMLR 2006»
14 years 9 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
JMLR
2006
115views more  JMLR 2006»
14 years 9 months ago
Structured Prediction, Dual Extragradient and Bregman Projections
We present a simple and scalable algorithm for maximum-margin estimation of structured output models, including an important class of Markov networks and combinatorial models. We ...
Benjamin Taskar, Simon Lacoste-Julien, Michael I. ...