Pages that link to "Item:Q2396123"
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The following pages link to A comparison of paired-associate learning models having different acquisition and retention axioms (Q2396123):
Displaying 17 items.
- A Bayesian-optimal principle for learner-friendly adaptation in learning games (Q972196) (← links)
- Moments of transition-additive random variables defined on finite, regenerative random processes (Q1109431) (← links)
- Population states and eigenstructures: A simplifying view of Markov learning models (Q1149398) (← links)
- Individual differences and the all-or-none vs incremental learning controversy (Q1216264) (← links)
- Some targets for mathematical psychology (Q1223237) (← links)
- Equivalence classes of functions of finite Markov chains (Q1225423) (← links)
- Second responses in paired-associate learning (Q1227542) (← links)
- Formal requirements of Markov state models for paired associate learning (Q1599157) (← links)
- Learning model solution to a problem in constrained optimization (Q2396124) (← links)
- Derivation of learning process statistics for a general Markov model (Q2521007) (← links)
- Paired-associate learning with short-term retention: Mathematical analysis and data regarding identification of parameters (Q2532244) (← links)
- An all-or-none theory for learning on both the paired-associate and concept levels (Q2536916) (← links)
- Statistical methods for a general theory of all-or-none learning (Q2538599) (← links)
- A comparison of a Hullian paired-associate learning model with other models appropriate to an \(R_ N T_ s\) design with 1 : 1 pairing of stimuli and responses (Q2540676) (← links)
- Reinforcement-test intervals in paired-associate learning (Q2544131) (← links)
- An analysis of some conditions for representing \(N\) state Markov processes as general all or none models (Q2544134) (← links)
- Stochastic learning models with distributions of parameters (Q2553930) (← links)
