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ECML
2006
Springer
15 years 2 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
ECML
2006
Springer
15 years 2 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
EPIA
1995
Springer
15 years 2 months ago
Using Stochastic Grammars to Learn Robotic Tasks
Abstract. The paper introduces a reinforcement learning-based methodology for performance improvement of Intelligent Controllers. The translation interfaces of a 3-level Hierarchic...
Pedro U. Lima, George N. Saridis
HPCA
1995
IEEE
15 years 2 months ago
Software Cache Coherence for Large Scale Multiprocessors
Shared memory is an appealing abstraction for parallel programming. It must be implemented with caches in order toperform well, however, and caches require a coherence mechanism t...
Leonidas I. Kontothanassis, Michael L. Scott
AI
2009
Springer
15 years 2 months ago
Financial Forecasting Using Character N-Gram Analysis and Readability Scores of Annual Reports
Abstract. Two novel Natural Language Processing (NLP) classification techniques are applied to the analysis of corporate annual reports in the task of financial forecasting. The ...
Matthew Butler, Vlado Keselj