9 citations found. Retrieving documents...
Jordan, M. I. (1992). Constrained supervised learning. J. of Mathematical Psychology, 36:396--425. Jordan, M. I. (1996). Computational aspects of motor control and motor learning. In Heuer, H. and Keele, S., editors, Handbook of Perception and Action: Motor Skills. Academic Press, New York.

 Home/Search   Document Not in Database   Summary   Related Articles   Check  

This paper is cited in the following contexts:
On the Identification of Recurrent Neural Nets - Trummer, Deistler   (Correct)

....and the past output rather than the past input. The idea stems from speech recognition, where the phenomenon of a long influence of past outputs is observed. This quite plausible when we realize that the pronounciation of a certain vowel can be influenced by the preceeding four or five consonants (Jordan (1992), Jordan (1986) So the idea was to feed back the output rather than the nonlinear transformation of the state. As can be seen from a straight forward calculation the Jordan network can also be written as y t = H oe[CA t x 0 t X j=1 CA j;1 By t;j Du t ] 3) Results analogous to those ....

Jordan, M. I. (1992). Constrained supervised learning. J. of Mathematical Psychology 36, 396--425.


Making Correct Statistical Inferences using a Wrong Probability.. - Golden (1995)   (Correct)

....(t) T q i (t) 28) where q i (t) is a d dimensional vector whose jth element is q i j (t) Figure 1 shows how this probability model is formally equivalent to a special type of highly constrained connectionist network. For expository reasons, consider a Jordan style connectionist network (Jordan, 1992) with an exponentially decaying memory. For networks of this type, the 8 function in (24) can be recursively defined as: y i (t) 8(x i (t 0 1) y i (t 0 1) x i (t 0 1) y i (t 0 1) 29) where y i (1) is a vector of zeroes. The ith activation pattern over the input units at time ....

Jordan, M. I. (1992). Constrained supervised learning. Journal of Mathematical Psychology, 36, 396--425.


The Emergence of Phonology from the Interplay of Speech.. - Plaut, Kello (1998)   (4 citations)  (Correct)

....possible articulatory states, but each of those articulatory states maps only to silence. From the perspective of control theory, the mapping from proximal domain (articulation) to the distal domain (acoustics) is termed the forward mapping, whereas the reverse is termed the inverse mapping (see Jordan, 1992, 1996) When the inverse mapping is many to one, as in this case, it constitutes a motor equivalence problem. This problem must be solved if the link between articulation and acoustics is to support the acquisition of speech production. Our solution to the motor equivalence problem is based on ....

Jordan, M. I. (1992). Constrained supervised learning. Journal of Mathematical Psychology, 36, 396--425.


Unknown -   Self-citation (Jordan)   (Correct)

No context found.

Jordan, M. I. (1992). Constrained supervised learning. J. of Mathematical Psychology, 36:396--425. Jordan, M. I. (1996). Computational aspects of motor control and motor learning. In Heuer, H. and Keele, S., editors, Handbook of Perception and Action: Motor Skills. Academic Press, New York.


Computational Aspects of Motor Control and Motor Learning - Jordan (1996)   (13 citations)  Self-citation (Jordan)   (Correct)

.... estimates for such systems under certain conditions (Goodwin Sin, 1984) For nonlinear systems, however, a di#culty arises that is related to the general degrees of freedom problem in motor control (Bernstein, 1967) The problem is due to a particular form of redundancy in nonlinear systems (Jordan, 1992). In such systems, the optimal parameter estimates (i.e. those that minimize the cost function in Equation 40) in fact yield an incorrect controller. 41 Plant D .5 .4 u n [ y n [ 2 D D v 1 v u n [ 1] Figure 19: An example of the direct inverse modeling ....

Jordan, M. I. (1992). Constrained supervised learning. Journal of Mathematical Psychology, 36, 396-425.


Inversion of Feedforward Neural Networks.. - Jensen, Reed.. (1999)   (2 citations)  (Correct)

No context found.

M. I. Jordan, "Constrained supervised learning," J. Math. Psych., vol. 36, pp. 396--425, 1992.


Inversion of Feedforward Neural Networks.. - Jensen, Reed, II, .. (1999)   (2 citations)  (Correct)

No context found.

M. I. Jordan, "Constrained Supervised Learning," Journal of Mathematical Psychology, Vol. 36, pp. 396-425, 1992.


Using Backpropagation Algorithm for Neural Adaptive Control: .. - Henaff, Delaplace (1996)   (Correct)

No context found.

M.I. Jordan, "Constrained Supervised Learning", Journal of Mathematical Psychologie , Vol 36, pp. 396-425, 1992


Recurrent back-propagation and Newton algorithms for training .. - Chung-Ming Kuan (1993)   (Correct)

No context found.

M. Jordan, "Constrained Supervised Learning," Journal of Mathematical Psychology , Vol. 36, pp. 396-- 425, 1992.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC