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» The Shortcut Problem - Complexity and Approximation
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127
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ICONIP
1998
15 years 5 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
142
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NIPS
1998
15 years 5 months ago
SMEM Algorithm for Mixture Models
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Ge...
117
Voted
IJCAI
1997
15 years 5 months ago
Model Minimization, Regression, and Propositional STRIPS Planning
Propositional STRIPS planning problems can be viewed as finite state automata (FSAs) represented in a factored form. Automaton minimization is a well-known technique for reducing ...
Robert Givan, Thomas Dean
159
Voted
NIPS
1997
15 years 5 months ago
Learning to Order Things
There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of learning how to order, given feedback in the form of ...
William W. Cohen, Robert E. Schapire, Yoram Singer
141
Voted
COLING
1996
15 years 5 months ago
Learning Dependencies between Case Frame Slots
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies b...
Hang Li, Naoki Abe